Will AI replace Legal associate professionals?

Not as a job, but it is already doing parts of the work. Across the 108 official task statements scored for Legal associate professionals (United Kingdom, SOC 3520), 55% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 56 out of 100 (range 51–62, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “Legal associate professionals” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Assist with processing, investigating, and resolving returned correspondence” (93/100, very high); “Search files to obtain information for the court” (93/100, very high); “Draft meeting agendas for organisational and administrative purposes” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.

Which tasks in “Legal associate professionals” stay human?

About 24% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Attend costs assessments to evaluate financial implications” (4/100, minimal); “Negotiate with landowners during site visits to secure land access” (4/100, minimal); “Advocate at costs-related hearings to represent financial interests” (6/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Legal associate professionals” do about AI?

Start from the ledger rather than the headline: 55% of this job's weighted core work is exposed, and roughly 24% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Legal associate professionals calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 108 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

UK dataswitch to US

Legal associate professionals

drafting bills of costs and schedules of costs, providing accurate legal and tax advice by paying attention and issuing court orders based on the court's decisions. If that's your week, this page is about your job.

The honest answer

Most tasks in this job are the kind AI has learned to do: analysing, researching and summarising legal information. The tasks, though, are not you.

Your move: three real directions from here ↓

Where the work sits, by task weight

shifting to AI: 55%
changing shape: 21%
staying human: 24%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 56 out of 100 (51–62 allowing for uncertainty): partial exposure, across 108 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for legal associate professionals is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

It would be a lie to soften that; resolving disputes by making decisions based on evidence and arguments from all involved parties is what this work rebuilds around. Your move starts there.

Your week, as this page understands it

Legal associate professionals provide administrative support for legal professionals and investigate and make recommendations on legal matters that do not fall within the province of a normal court of law. The job title says “legal associate professionals”. The real job is the part underneath: resolving disputes by making decisions based on evidence and arguments from all involved parties. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But legal associate professionals is not one task. It is 108 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is resolving disputes by making decisions based on evidence and arguments from all involved parties, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 55%
changing shape: 21%
staying human: 24%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

15 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

56 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Analysing, researching and summarising legal information
This is reading one thing and writing another: legal information in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/02, 3520/03, 3520/04, 3520/05, 3520/06
Source: “Analyse, research and summarise legal information.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (68–76 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading legal material and producing a clear summary is a task drafting tools now do to a standard most lawyers would accept.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Drafting and finalising legal documents
This is reading one thing and writing another: legal documents in, a record out. That is the shape today's tools are built for.
importance 80 · 3520/01, 3520/05, 3520/06
Source: “Draft and finalise legal documents, including wills and contracts, for clients.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (65–79 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Wills and contracts are built from well-established precedents, so software drafts strong versions, with a supervising lawyer checking the final wording.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Compiling evidence for legal investigations and court proceedings
This is reading one thing and writing another: evidence in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/02, 3520/03, 3520/04
Source: “Compile evidence for legal investigations and court proceedings.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Gathering, sorting and indexing documents for a case is bulk document work where review software already does most of the sorting.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Searching computer databases, credit reports, public records
This is reading one thing and writing another: computer databases, credit reports, public records in, a record out. That is the shape today's tools are built for.
importance 50 · 3520/03, 3520/04, 3520/05, 3520/06
Source: “Search computer databases, credit reports, public records, tax or legal filings, or other resources to locate persons or to compile information for investigations.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Searching databases and public records and pulling the results together is exactly what automated look-up tools are built to do.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.

Changing shape

25 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Advising on retainers and fee arrangements between clients and their solicitors
The software now makes the first pass at retainers, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 95 · 3520/02
Source: “Advise on retainers and fee arrangements between clients and their solicitors.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Advice on retainers draws on well-documented rules, but it is advice a qualified costs professional signs off.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Administering a caseload of property and land transactions
The software now makes the first pass at a caseload of property, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 90 · 3520/01
Source: “Administer a caseload of property and land transactions, including freehold, re-mortgages, and equity transfers.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Conveyancing files are largely standard documents and checks, but the work must sit under a regulated legal professional.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Advising on cost budgets presented by an opposing party
The software now makes the first pass at cost budgets, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 90 · 3520/02
Source: “Advise on cost budgets presented by an opposing party.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Analysing an opponent's budget is comparison work AI does well, though the advice itself carries professional responsibility.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Staying human

27 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Resolving disputes by making decisions based on evidence and arguments from all involved parties
The rules require a named, qualified person to answer for disputes, and that person cannot be a piece of software.
importance 60 · 3520/02, 3520/04, 3520/05
Source: “Resolve disputes by making decisions based on evidence and arguments from all involved parties.” (UK task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Deciding between two sides' cases must be done by the person legally appointed to make that ruling, who answers for it.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Meeting with clients and taking on cases
The rules require a named, qualified person to answer for clients, and that person cannot be a piece of software.
importance 60 · 3520/04, 3520/05, 3520/06
Source: “Meet with clients and take on cases.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Clients decide whether to instruct a firm after meeting someone they trust, and the firm must formally accept the case.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Negotiating fees for barristers with clients or courts
The value here is that a specific person handles fees and stands behind it. That is earned, not computed.
importance 85 · 3520/03
Source: “Negotiate fees for barristers with clients or courts.” (UK task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Fee negotiation for counsel runs on long-standing relationships between clerks, solicitors and chambers.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.

Show the other 98 tasks

Assisting with processing, investigating and resolving returned correspondence
shifting to AI
This is reading one thing and writing another: processing, investigating and resolving returned correspondence in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/01
Source: “Assist with processing, investigating, and resolving returned correspondence.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Tracing and re-sending returned post is routine administration that systems already handle.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Searching files to obtain information for the court
shifting to AI
This is reading one thing and writing another: files in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/03
Source: “Search files to obtain information for the court.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Searching files for the information the court needs is retrieval, which software does faster than a person.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Drafting meeting agendas for organisational and administrative purposes
shifting to AI
This is reading one thing and writing another: agendas in, a record out. That is the shape today's tools are built for.
importance 50 · 3520/03
Source: “Draft meeting agendas for organisational and administrative purposes.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Drafting an agenda from previous minutes and requests is straightforward writing software does well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Creating and maintaining accurate file records in compliance with employer's policies and procedures
shifting to AI
This is reading one thing and writing another: accurate file records in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/05
Source: “Create and maintain accurate file records in compliance with employer's policies and procedures, taking into account data protection and confidentiality issues.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping accurate job records in line with data protection rules is ordinary computer work.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Searching for and examining public and legal records to establish ownership
shifting to AI
This is reading one thing and writing another: and examining public in, a record out. That is the shape today's tools are built for.
importance 80 · 3520/01
Source: “Search for and examine public and legal records to establish ownership.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Ownership searches run against the Land Registry and other public databases, and the results come back in a standard, readable form.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Preparing cost budgets
shifting to AI
This is reading one thing and writing another: cost budgets in, a record out. That is the shape today's tools are built for.
importance 90 · 3520/02
Source: “Prepare cost budgets.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (81–95 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Costs budgets are built on a fixed court form from recorded time and rates, so software can produce them accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Proofreading complaints, appeals, motions and pretrial agreements
shifting to AI
This is reading one thing and writing another: complaints, appeals, motions and pretrial agreements in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/03
Source: “Proofread complaints, appeals, motions, and pretrial agreements.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Proofreading legal documents for errors and consistency is something AI does quickly and very accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Preparing legal documents for drafting wills and managing estates
shifting to AI
This is reading one thing and writing another: legal documents in, a record out. That is the shape today's tools are built for.
importance 90 · 3520/05, 3520/06
Source: “Prepare legal documents for drafting wills and managing estates.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Wills and estate documents are strongly template-based, and AI produces good drafts for checking.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Processing and managing incoming and outgoing invoices
shifting to AI
This is reading one thing and writing another: invoices in, a record out. That is the shape today's tools are built for.
importance 50 · 3520/05
Source: “Process and manage incoming and outgoing invoices.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading invoices, matching them to files and posting them is exactly what accounting software automates, with a person approving payment.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Arranging appointments for clients and staff across various sectors
shifting to AI
This is reading one thing and writing another: appointments in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/03
Source: “Arrange appointments for clients and staff across various sectors.” (UK task statement)
How this row was scored
Exposure score: 85 out of 100 (81–89 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Booking appointments is scheduling work that online systems already do from start to finish.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Researching legal records and case law
shifting to AI
This is reading one thing and writing another: legal records in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/01
Source: “Research legal records and case law.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Searching legal records and case law is retrieval and summarising over published material, which tools do very quickly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Typing and proofreading documents for accuracy
shifting to AI
This is reading one thing and writing another: documents in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/03
Source: “Type and proofread documents for accuracy.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Typing and checking documents for errors is exactly what everyday writing software already does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Recording minutes at meetings
shifting to AI
This is reading one thing and writing another: minutes in, a record out. That is the shape today's tools are built for.
importance 50 · 3520/03
Source: “Record minutes at meetings.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Automatic transcription and summarising already produce usable minutes from a recording of the meeting.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Carrying out desk-based research to identify legal interests in land for infrastructure projects
shifting to AI
This is reading one thing and writing another: desk-based research in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/01
Source: “Carry out desk-based research to identify legal interests in land for infrastructure projects.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Searching registers and title documents to find who holds an interest in land is exactly what AI research tools do well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Creating plans showing land ownership and schedules of interested parties from land referencing tasks
shifting to AI
This is reading one thing and writing another: plans showing land ownership in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/01
Source: “Create plans showing land ownership and schedules of interested parties from land referencing tasks.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Turning referencing results into ownership plans and schedules is structured output that mapping and document software produces.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Producing and distributing legal notices to landowners identified by the land referencing task
shifting to AI
This is reading one thing and writing another: legal notices in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/01
Source: “Produce and distribute legal notices to landowners identified by the land referencing task.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Legal notices follow a fixed form and are produced and issued from a schedule of names and addresses.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Drafting bills of costs and schedules of costs
shifting to AI
This is reading one thing and writing another: bills of costs in, a record out. That is the shape today's tools are built for.
importance 95 · 3520/02
Source: “Draft bills of costs and schedules of costs.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: A bill of costs is built from time records in a set format, which software assembles accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal documents for cost assessments in legal cases
shifting to AI
This is reading one thing and writing another: legal documents in, a record out. That is the shape today's tools are built for.
importance 85 · 3520/02
Source: “Prepare legal documents for cost assessments in legal cases.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Assessment bundles and schedules are standard documents assembled from material already on file.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal documents to support barristers and judges
shifting to AI
This is reading one thing and writing another: legal documents in, a record out. That is the shape today's tools are built for.
importance 80 · 3520/03
Source: “Prepare legal documents to support barristers and judges.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Preparing standard court documents from case material is document production that AI handles well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Recording case outcomes and court orders
shifting to AI
This is reading one thing and writing another: case outcomes in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/03
Source: “Record case outcomes and court orders.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Recording outcomes and orders onto the court system is routine, well-defined data entry.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining financial records and accounts to support legal proceedings
shifting to AI
This is reading one thing and writing another: financial records in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/03
Source: “Maintain financial records and accounts to support legal proceedings.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping financial records for legal work is book-keeping, which accounting software already largely automates.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Recording case data on specified forms to support legal proceedings
shifting to AI
This is reading one thing and writing another: case data in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/03
Source: “Record case data on specified forms to support legal proceedings.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Entering case data onto specified forms is structured record keeping that software does reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal documents for court proceedings
shifting to AI
This is reading one thing and writing another: legal documents in, a record out. That is the shape today's tools are built for.
importance 85 · 3520/04
Source: “Prepare legal documents for court proceedings.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Court documents are largely standard forms completed from case details already on file.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Applying numerical skills to calculate financial aspects of non-inheritance tax and non-complex estates
shifting to AI
This is reading one thing and writing another: numerical skills in, a record out. That is the shape today's tools are built for.
importance 80 · 3520/05
Source: “Apply numerical skills to calculate financial aspects of non-inheritance tax and non-complex estates, and maintain compliant and complete record keeping.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Estate calculations and compliant record keeping are arithmetic and filing that software does accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Informing the public about court appearances and trial dates
shifting to AI
This is reading one thing and writing another: the public in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/03
Source: “Inform the public about court appearances and trial dates.” (UK task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Telling people when a case is listed is information already held in the system and easily published or sent out.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Administering digital systems
shifting to AI
This is reading one thing and writing another: digital systems in, a record out. That is the shape today's tools are built for.
importance 80 · 3520/01
Source: “Administer digital systems to create, maintain and use client and organisation data securely in line with legislation.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Setting up and running case systems so client data is stored correctly and lawfully is documented IT admin work software supports heavily.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining records of clients
shifting to AI
This is reading one thing and writing another: records of clients in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/02
Source: “Maintain records of clients.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping client files and contact records up to date is routine case-management admin that software already does end to end.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining office tracking systems for efficient correspondence and follow-up actions
shifting to AI
This is reading one thing and writing another: office tracking systems in, a record out. That is the shape today's tools are built for.
importance 50 · 3520/03
Source: “Maintain office tracking systems for efficient correspondence and follow-up actions.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Correspondence tracking is a diary and database task that software runs automatically.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Organizing and prioritizing own workload to meet deadlines
shifting to AI
This is reading one thing and writing another: own workload in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/05
Source: “Organize and prioritize own workload to meet deadlines.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Sorting and prioritising a work queue against deadlines is scheduling work that software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Applying the available technology to achieve the desired outcomes within the area of probate
shifting to AI
This is reading one thing and writing another: the available technology in, a record out. That is the shape today's tools are built for.
importance 50 · 3520/05
Source: “Apply the available technology to achieve the desired outcomes within the area of probate.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Choosing and using the right tools for probate work is exactly where AI assistance is strongest.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal documents for property transactions
shifting to AI
This is reading one thing and writing another: legal documents in, a record out. That is the shape today's tools are built for.
importance 90 · 3520/01
Source: “Prepare legal documents for property transactions.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (65–79 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Transfer deeds and contracts follow standard forms, so software can produce accurate drafts for the licensed conveyancer to approve.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Reviewing legal documents for accuracy and compliance with relevant laws
shifting to AI
This is reading one thing and writing another: legal documents in, a record out. That is the shape today's tools are built for.
importance 90 · 3520/01
Source: “Review legal documents for accuracy and compliance with relevant laws.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (68–76 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Checking documents against legal requirements is pattern-matching over text, something software now does at a standard most reviewers would accept.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Managing legal files and utilising client case management and accounting systems
shifting to AI
This is reading one thing and writing another: legal files in, a record out. That is the shape today's tools are built for.
importance 80 · 3520/01
Source: “Manage legal files and utilise client case management and accounting systems.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (65–79 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Filing, deadline tracking and posting entries into legal case and accounts systems is structured software work with the rules built in.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Analysing legal precedents and relevant laws for cases similar to the current one
shifting to AI
This is reading one thing and writing another: legal precedents in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/01
Source: “Analyse legal precedents and relevant laws for cases similar to the current one.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (68–76 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Finding and comparing similar past judgments is searching published case law, an area where legal research tools are now very strong.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Determining case ramifications by studying the Constitution
shifting to AI
This is reading one thing and writing another: case ramifications in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/01
Source: “Determine case ramifications by studying the Constitution, statutes, decisions, regulations, and orders of quasi-judicial bodies.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (68–76 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Working out what the law means for a case is research through published statutes and judgments, which software searches and summarises well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Investigating facts and law of cases to determine causes of action
shifting to AI
This is reading one thing and writing another: facts in, a record out. That is the shape today's tools are built for.
importance 85 · 3520/04, 3520/05, 3520/06
Source: “Investigate facts and law of cases to determine causes of action.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (68–76 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Matching the facts of a case to the legal grounds available is research and analysis over published law, which software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Drafting precise and completing legal documentation
shifting to AI
This is reading one thing and writing another: precise in, a record out. That is the shape today's tools are built for.
importance 85 · 3520/05
Source: “Draft precise and complete legal documentation, conducting necessary research and escalating complex matters beyond personal accountability.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (65–79 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: AI drafts legal documents and does the background research well; knowing what to escalate still needs judgement.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Filing documents to maintain organised records
shifting to AI
This is reading one thing and writing another: documents in, a record out. That is the shape today's tools are built for.
importance 50 · 3520/05
Source: “File documents to maintain organised records.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Digital filing is largely automatic, though paper still has to be put away by hand.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Organizing work in adherence to rigorous legal processes
shifting to AI
This is reading one thing and writing another: work in, a record out. That is the shape today's tools are built for.
importance 80 · 3520/01
Source: “Organize work in adherence to rigorous legal processes.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Managing deadlines, steps and file order against a set legal process is exactly what case-management software is designed to do.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal briefs for court cases to facilitate property transfers
shifting to AI
This is reading one thing and writing another: legal briefs in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/01
Source: “Prepare legal briefs for court cases to facilitate property transfers.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Briefs for a property matter follow familiar structures, so AI can produce a solid draft for a lawyer to finish.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Assisting in conducting 'Know Your Client' activities to ensure appropriate legal services
shifting to AI
This is reading one thing and writing another: conducting 'know your client' activities in, a record out. That is the shape today's tools are built for.
importance 60 · 3520/01
Source: “Assist in conducting 'Know Your Client' activities to ensure appropriate legal services are provided.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Identity and background checks run through screening services automatically, with the firm's own officer deciding whether to accept the client.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Drafting points of dispute
shifting to AI
This is reading one thing and writing another: points of dispute in, a record out. That is the shape today's tools are built for.
importance 90 · 3520/02
Source: “Draft points of dispute.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Points of dispute follow familiar patterns, so AI drafts a good starting version for a specialist to sharpen.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Drafting replies to costs claims
shifting to AI
This is reading one thing and writing another: replies in, a record out. That is the shape today's tools are built for.
importance 85 · 3520/02
Source: “Draft replies to costs claims.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Replies to costs claims are structured written responses that AI drafts well from the file.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal briefs for court cases to manage legal costs
shifting to AI
This is reading one thing and writing another: legal briefs in, a record out. That is the shape today's tools are built for.
importance 75 · 3520/02
Source: “Prepare legal briefs for court cases to manage legal costs.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Costs briefs follow a familiar structure, so a strong draft can be produced for a specialist to check.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal briefs for court cases to assist barristers
shifting to AI
This is reading one thing and writing another: legal briefs in, a record out. That is the shape today's tools are built for.
importance 75 · 3520/03
Source: “Prepare legal briefs for court cases to assist barristers.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Assembling a brief for counsel from the papers is structured drafting that AI does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Filing legible court case transcripts with the court clerk's office
shifting to AI
This is reading one thing and writing another: legible court case transcripts in, a record out. That is the shape today's tools are built for.
importance 70 · 3520/03, 3520/04
Source: “File legible court case transcripts with the court clerk's office.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Submitting documents to the court is now mostly electronic form-filling, done on behalf of the solicitor responsible for the case.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal briefs for court cases to pursue legal actions
shifting to AI
This is reading one thing and writing another: legal briefs in, a record out. That is the shape today's tools are built for.
importance 90 · 3520/04
Source: “Prepare legal briefs for court cases to pursue legal actions.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Litigation briefs follow familiar structures, so AI produces a workable draft for a lawyer to finish.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal briefs for court cases to administer estates
shifting to AI
This is reading one thing and writing another: legal briefs in, a record out. That is the shape today's tools are built for.
importance 85 · 3520/05
Source: “Prepare legal briefs for court cases to administer estates.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Probate briefs follow set forms and are drafted well from the estate papers.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing legal briefs for court cases to validate wills
shifting to AI
This is reading one thing and writing another: legal briefs in, a record out. That is the shape today's tools are built for.
importance 85 · 3520/06
Source: “Prepare legal briefs for court cases to validate wills.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Briefs about the validity of a will follow set structures and are drafted well from the papers.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Gaining knowledge and developing a wider working understanding beyond probate
shifting to AI
It is the same call made over and over on knowledge, with a right answer to check it against. That is what a model is trained on.
importance 60 · 3520/05
Source: “Gain knowledge and develop a wider working understanding beyond probate, by learning about other areas of law that overlap with probate.” (UK task statement)
How this row was scored
Exposure score: 65 out of 100 (58–72 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: AI can supply legal knowledge on demand, but building a rounded working understanding remains something a person does.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Suggesting particular barristers for cases based on their practice areas and experience
shifting to AI
This is reading one thing and writing another: particular barristers in, a record out. That is the shape today's tools are built for.
importance 80 · 3520/03
Source: “Suggest particular barristers for cases based on their practice areas and experience.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Matching a case to counsel can be done from practice areas and records, though clerks also rely on personal knowledge.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Demonstrating a thorough understanding of legal principles applicable to conveyancing using plain English
shifting to AI
This is reading one thing and writing another: a thorough understanding of legal principles applicable in, a record out. That is the shape today's tools are built for.
importance 90 · 3520/01
Source: “Demonstrate a thorough understanding of legal principles applicable to conveyancing using plain English.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Explaining property law in everyday language is a writing task software does well, since the rules themselves are fully published.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Understanding the different legal services delivery business models
changing shape
The software now makes the first pass at the different legal services delivery business models, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 60 · 3520/05
Source: “Understand the different legal services delivery business models, including those used by the employer, and apply commercial practices accordingly.” (UK task statement)
How this row was scored
Exposure score: 58 out of 100 (51–65 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Business models are documented, but applying commercial judgement inside a particular firm draws on inside knowledge.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Assisting senior colleagues in work with lending institutions to meet their requirements and provide excellent customer service
changing shape
The software now makes the first pass at senior colleagues, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 3520/01
Source: “Assist senior colleagues in work with lending institutions to meet their requirements and provide excellent customer service.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Meeting lender requirements is a checklist exercise against published criteria, which software works through reliably.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Providing support to licensed conveyancers in legal office environment
changing shape
The software now makes the first pass at support, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 3520/01
Source: “Provide support to licensed conveyancers in legal office environment.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Preparing files, searches and paperwork for a licensed conveyancer is document work software handles well; the licensed person signs the transaction.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Risking assess the impact of transactions on clients and other stakeholders to ensure compliance with legislation and professional standards
changing shape
The software now makes the first pass at assess the impact of transactions, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 70 · 3520/01
Source: “Risk assess the impact of transactions on clients and other stakeholders to ensure compliance with legislation and professional standards including recommendations for the mitigation of risks.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Risk analysis against known rules is well suited to AI, but the professional standards sign-off stays with a regulated adviser.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Advising on and preparing claims for costs from public funds
changing shape
The software now makes the first pass at and preparing claims, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 85 · 3520/02
Source: “Advise on and prepare claims for costs from public funds (Legal Aid).” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Legal aid claims follow published rates and rules, but the certified claim rests on a qualified person.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Managing a caseload of claimant or defendant costs files
changing shape
The software now makes the first pass at a caseload of claimant, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 3520/02
Source: “Manage a caseload of claimant or defendant costs files, overseeing all related expenses.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Running a costs caseload is deadline tracking, document production and figures, all of which software supports strongly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Coordinating with the Legal Aid Agency on relevant legal matters
changing shape
The software now makes the first pass at the legal aid agency, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 3520/02
Source: “Coordinate with the Legal Aid Agency on relevant legal matters.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Dealing with the Legal Aid Agency is form-driven correspondence against published requirements.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Ensuring adherence to industry best practices and compliance standards
changing shape
The software now makes the first pass at adherence, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 60 · 3520/02
Source: “Ensure adherence to industry best practices and compliance standards.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Checking practice against compliance standards is rule matching AI does well, with a qualified person still answerable.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Arranging for files/papers to be transported to and from the relevant court
changing shape
The software now makes the first pass at files/papers, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 3520/03
Source: “Arrange for files/papers to be transported to and from the relevant court.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Booking and tracking the movement of papers is coordination work, even though the papers themselves must physically travel.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Managing finances and controlling budgets to support legal services and case management
changing shape
The software now makes the first pass at finances, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 3520/03
Source: “Manage finances and control budgets to support legal services and case management.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Chambers budgets and fee income are figures work that accounting software and AI handle strongly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Communicating complex ideas clearly and concisely
changing shape
The software now makes the first pass at complex ideas, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 60 · 3520/05
Source: “Communicate complex ideas clearly and concisely, both orally and in writing.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: AI writes clearly and simplifies complex points well, though explaining them aloud to a worried client is different.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Ensuring all transactions and activities are carried out safely and securely to protect the organisation from threats
changing shape
The software now makes the first pass at all transactions, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 3520/01
Source: “Ensure all transactions and activities are carried out safely and securely to protect the organisation from threats such as fraud and cybercrime, under the guidance of senior colleagues.” (UK task statement)
How this row was scored
Exposure score: 50 out of 100 (43–57 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Checks against fraud and cyber attacks are increasingly automated, though staff still have to spot the unusual cases and escalate them.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Providing guidance on strategies for the recovery of costs
changing shape
The software now makes the first pass at guidance, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 80 · 3520/02
Source: “Provide guidance on strategies for the recovery of costs.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Recovery strategy draws on well-documented rules and past outcomes, but the advice is given by a qualified professional.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Organising and attending meetings
changing shape
The software now makes the first pass at meetings, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 60 · 3520/03
Source: “Organise and attend meetings.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Setting up meetings and producing notes is well handled by software, though attending them still means being present.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Providing accurate legal and tax advice by paying attention
changing shape
The software now makes the first pass at accurate legal, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 80 · 3520/05
Source: “Provide accurate legal and tax advice by paying attention to detail, following internal and external processes, and upholding relevant codes of conduct.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Legal and tax rules are well documented, but giving the advice carries professional responsibility a person must hold.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Issuing court orders based on the court's decisions
changing shape
The software now makes the first pass at court orders, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 80 · 3520/03
Source: “Issue court orders based on the court's decisions.” (UK task statement)
How this row was scored
Exposure score: 47 out of 100 (40–54 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Orders are produced from a set form, but issuing and sealing one is an act of the court itself.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Handling and responding to client and third-party inquiries with confidence
changing shape
The software now makes the first pass at client, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 80 · 3520/01
Source: “Handle and respond to client and third-party inquiries with confidence.” (UK task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Most enquiries have standard answers software can draft, though clients often want to hear it from a person who knows their case.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Contacting witnesses, solicitors or litigants to obtain information for the court
changing shape
The software now makes the first pass at witnesses, solicitors or litigants, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 85 · 3520/03
Source: “Contact witnesses, solicitors, or litigants to obtain information for the court.” (UK task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Chasing information by letter and phone is well supported by software, though witnesses often need a person to call them.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Collaborating with professionals from various fields
changing shape
The software now makes the first pass at professionals, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 85 · 3520/05
Source: “Collaborate with professionals from various fields including accountancy, banking, tax, trust, and charitable organizations to effectively administer an estate.” (UK task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Coordinating accountants, banks and trustees is largely correspondence, though estates run smoother when someone knows the people involved.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Ensuring compliance with governing bodies' requirements
changing shape
The software now makes the first pass at compliance, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 90 · 3520/01
Source: “Ensure compliance with governing bodies' requirements, rules, and regulations.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Rule checks can be automated, but a named officer in the firm has to answer to the regulator for compliance.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Demonstrating commercial awareness and identifying new opportunities for business growth and improvement
changing shape
The software now makes the first pass at commercial awareness, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 3520/01
Source: “Demonstrate commercial awareness and identify new opportunities for business growth and improvement.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Market analysis can be generated from published data, but spotting the openings that fit this particular firm relies on local knowledge.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Taking responsibility for managing tasks
changing shape
The software now makes the first pass at responsibility, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 70 · 3520/05
Source: “Take responsibility for managing tasks, priorities, and time to meet deadlines, positively managing the expectations of colleagues at all levels.” (UK task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Software can suggest priorities, but being answerable for deadlines and colleagues' expectations sits with a person.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Maintaining regular communication with clients to update them on estate proceedings
staying human
The value here is that a specific person handles regular communication and stands behind it. That is earned, not computed.
importance 80 · 3520/05
Source: “Maintain regular communication with clients to update them on estate proceedings.” (UK task statement)
How this row was scored
Exposure score: 36 out of 100 (29–43 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Updates can be drafted automatically, but bereaved clients usually want a person they know to keep them informed.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Working closely with third-party stakeholders and other professionals to understand their requirements and providing excellent customer service
staying human
The value here is that a specific person handles third-party stakeholders and stands behind it. That is earned, not computed.
importance 80 · 3520/01
Source: “Work closely with third-party stakeholders and other professionals to understand their requirements and provide excellent customer service, for example: property managing agents, probate solicitors, mortgage brokers, Land Registry, Court of Protection.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Coordinating with agents, brokers and registries is largely correspondence, though each relationship carries its own expectations.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Negotiating contracts with customers and suppliers for legal cost management
staying human
The value here is that a specific person handles contracts and stands behind it. That is earned, not computed.
importance 70 · 3520/02
Source: “Negotiate contracts with customers and suppliers for legal cost management.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Contract terms can be drafted quickly, but agreeing them with a supplier or client is a negotiation between people.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Conducting reasonable enquiries via phone
staying human
The value here is that a specific person handles reasonable enquiries via phone and stands behind it. That is earned, not computed.
importance 60 · 3520/01
Source: “Conduct reasonable enquiries via phone, email and/or in person to confirm land ownership and occupational interests with individuals and companies believed to have an interest in the land.” (UK task statement)
How this row was scored
Exposure score: 34 out of 100 (27–41 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Standard enquiry letters and calls can be generated, but confirming who occupies land often means speaking to people directly.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Liaising with solicitors and other legal professionals to negotiate the terms of a claim
staying human
The value here is that a specific person handles solicitors and stands behind it. That is earned, not computed.
importance 70 · 3520/05
Source: “Liaise with solicitors and other legal professionals to negotiate the terms of a claim.” (UK task statement)
How this row was scored
Exposure score: 31 out of 100 (24–38 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Offers and valuations can be calculated, but settling terms happens through back-and-forth between two professionals who know their cases.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Managing projects within agreed timescales and budget
staying human
The value here is that a specific person handles projects within agreed timescales and stands behind it. That is earned, not computed.
importance 70 · 3520/01
Source: “Manage projects within agreed timescales and budget.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Tracking budgets and timescales is easily supported, but keeping a project on track depends on the people involved.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Developing and marketing members' businesses to ensure a steady supply of work
staying human
The value here is that a specific person handles members' businesses and stands behind it. That is earned, not computed.
importance 50 · 3520/03
Source: “Develop and market members' businesses to ensure a steady supply of work.” (UK task statement)
How this row was scored
Exposure score: 28 out of 100 (21–35 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Winning work for members depends on relationships with instructing solicitors built over years.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Working closely with senior colleagues to provide legal services within professional remit and only under the instruction of an Authorised Person
staying human
The rules require a named, qualified person to answer for senior colleagues, and that person cannot be a piece of software.
importance 70 · 3520/01
Source: “Work closely with senior colleagues to provide legal services within professional remit and only under the instruction of an Authorised Person.” (UK task statement)
How this row was scored
Exposure score: 27 out of 100 (20–34 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it.
The rating behind it: This work is defined by the rule that it happens only under the instruction of an authorised legal professional.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Engaging in activities for personal professional development
staying human
The ratings behind this row put activities well outside what today's tools can do on their own.
importance 70 · 3520/01
Source: “Engage in activities for personal professional development.” (UK task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over.
The rating behind it: Learning and developing professionally is something only the person themselves can do.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Working closely with clients and third parties providing excellent client service
staying human
The value here is that a specific person handles clients and stands behind it. That is earned, not computed.
importance 80 · 3520/01
Source: “Work closely with clients and third parties providing excellent client service.” (UK task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Good client service in a property matter rests on someone the client can ring and trust through a stressful purchase.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Ensuring high standards of client care by providing ethical legal services in the best interests of the client
staying human
The rules require a named, qualified person to answer for high standards of client care, and that person cannot be a piece of software.
importance 80 · 3520/01
Source: “Ensure high standards of client care by providing ethical legal services in the best interests of the client.” (UK task statement)
How this row was scored
Exposure score: 17 out of 100 (10–24 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Acting in a client's best interests is a duty a named person carries, and it shows in how they treat the client.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Serving as an agent for businesses or individuals
staying human
The rules require a named, qualified person to answer for an agent, and that person cannot be a piece of software.
importance 60 · 3520/01
Source: “Serve as an agent for businesses or individuals.” (UK task statement)
How this row was scored
Exposure score: 17 out of 100 (10–24 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Acting on someone else's behalf means a named person takes legal responsibility for the decisions made in their name.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Interviewing clients and witnesses
staying human
The value here is that a specific person handles clients and stands behind it. That is earned, not computed.
importance 70 · 3520/01
Source: “Interview clients and witnesses.” (UK task statement)
How this row was scored
Exposure score: 15 out of 100 (8–22 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Question lists can be prepared automatically, but getting a full account out of a client or witness depends on a person listening.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Mediating in costs disputes between solicitors and their clients
staying human
The rules require a named, qualified person to answer for costs disputes, and that person cannot be a piece of software.
importance 85 · 3520/02
Source: “Mediate in costs disputes between solicitors and their clients.” (UK task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Mediating between a solicitor and their client depends on both sides trusting the person in the middle.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Supervising junior employees as part of career development
staying human
The value here is that a specific person handles junior employees and stands behind it. That is earned, not computed.
importance 70 · 3520/02
Source: “Supervise junior employees as part of career development.” (UK task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Developing a junior colleague depends on a working relationship and on watching how they actually handle files.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Responding to enquiries and encourage parties to sign access licences during phone calls or site visits
staying human
This work happens in the physical world: enquiries, in a real place. Software cannot follow it there.
importance 70 · 3520/01
Source: “Respond to enquiries and encourage parties to sign access licences during phone calls or site visits.” (UK task statement)
How this row was scored
Exposure score: 12 out of 100 (5–19 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Persuading a landowner to sign an access licence usually happens on the doorstep or the phone, and depends on trust.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Building and maintaining professional relationships with third parties
staying human
The value here is that a specific person handles professional relationships and stands behind it. That is earned, not computed.
importance 80 · 3520/01
Source: “Build and maintain professional relationships with third parties.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Professional relationships are built between people over time, and software cannot stand in for that.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 4/4 · how much data exists 1/4.
Verifying land attributes and uses on site for accuracy against desk-based research
staying human
This work happens in the physical world: land attributes, in a real place. Software cannot follow it there.
importance 60 · 3520/01
Source: “Verify land attributes and uses on site for accuracy against desk-based research.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Checking what the land is actually used for means walking it and comparing with the desk research.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Adhering to regulations and internal policies relevant to the role
staying human
This work happens in the physical world: regulations, in a real place. Software cannot follow it there.
importance 70 · 3520/05
Source: “Adhere to regulations and internal policies relevant to the role.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: AI can explain the rules, but following them is something the cleaner does on site.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Engaging with local residents to minimise project impacts on the community
staying human
This work happens in the physical world: local residents, in a real place. Software cannot follow it there.
importance 60 · 3520/01
Source: “Engage with local residents to minimise project impacts on the community.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Reassuring local residents about a project depends on trust built in person with the community.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Demonstrating empathy and understanding when dealing with clients during emotionally challenging times
staying human
The value here is that a specific person handles empathy and stands behind it. That is earned, not computed.
importance 75 · 3520/05
Source: “Demonstrate empathy and understanding when dealing with clients during emotionally challenging times.” (UK task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Sitting with someone who has just lost a family member is work that only another person can do.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 4/4 · how much data exists 1/4.
Advocating at costs-related hearings to represent financial interests
staying human
This work happens in the physical world: costs-related hearings, in a real place. Software cannot follow it there.
importance 80 · 3520/02
Source: “Advocate at costs-related hearings to represent financial interests.” (UK task statement)
How this row was scored
Exposure score: 6 out of 100 (2–10 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Speaking at a costs hearing is a right reserved to authorised people, so it cannot be handed to software.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 4/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Negotiating with landowners during site visits to secure land access
staying human
This work happens in the physical world: landowners during site visits, in a real place. Software cannot follow it there.
importance 60 · 3520/01
Source: “Negotiate with landowners during site visits to secure land access.” (UK task statement)
How this row was scored
Exposure score: 4 out of 100 (0–11 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Negotiating access on someone's land happens at their gate, and depends on how much they trust the person asking.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Attending costs assessments to evaluate financial implications
staying human
This work happens in the physical world: costs assessments, in a real place. Software cannot follow it there.
importance 85 · 3520/02
Source: “Attend costs assessments to evaluate financial implications.” (UK task statement)
How this row was scored
Exposure score: 4 out of 100 (0–11 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Attending an assessment means being present at the hearing, where only an authorised person can speak to the bill.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: £34,700a year, before tax, the middle of the range, so half earn more and half earn less.ashe-t14, 2025 · ASHE 2025 provisional (reference April 2025)Provisional, because the ONS revises this figure in the autumn.
How we know this
Source: ashe-t14
Reference period: ASHE 2025 provisional (reference April 2025)
Rounding: Shown to the nearest £100. The exact published figure is in the downloadable dataset. We do not render pounds the survey cannot support.
People doing this job: 57,300in the UK, 2026.nomis-aps · Apr 2025-Mar 2026 (latest APS 12-month period)This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: legal information in, a record out. The rows above are exactly that shape: analysing, researching and summarising legal information and drafting and finalising legal documents. What it cannot do is be answerable: disputes need a named person the rules will accept, and software cannot be that person. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

The exposed part of your job is the biggest part, and I am not going to dress that up: analysing, researching and summarising legal information is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 55% of this job's task weight sits in rows the software is already learning, 21% in rows that change shape rather than disappear, and 24% in rows it is nowhere near. That is the position, measured across 108 scored tasks. It is not a forecast about you.

What you have that the software does not is resolving disputes by making decisions based on evidence and arguments from all involved parties, plus the years of knowing when something looks wrong before you can say why. That is the raw material for everything below.

This week: one thing

Sit on the machine's side of the desk. Pick one real piece of legal information you would normally do yourself, let whatever software you already have take the first pass at it, and then go through what it produced and write down every single thing it got wrong. One evening this week. Do not fix anything yet. Just catch it.

What you end up holding: a written list of the machine’s mistakes, in your handwriting
How long it takes: an evening, or an hour if you pick one job rather than one client

If you can’t run software on your employer’s or your clients’ data: Do the same hunt on paper. Take one printed piece of legal information, work through it the way you always do, and mark every point where you made a call rather than followed a rule. Same evening, same list, nothing to log into and nobody to ask permission from. That list is the same artifact: it is the judgment written down.

Over the next 90 days

Change one sentence about what you do. Not on a CV. Out loud, to whoever pays you. From “my job is analysing, researching and summarising legal information” to “I check what the software does and tell you what it means.” Your error list from this week is what makes that sentence true instead of a claim, so use it: show it once, to one person, inside the next ninety days. Same skills, priced as judgment rather than as typing.

Over the next 12 months

Walk toward the end of this job that answers for things, and get it recognised. Pick the one part of resolving disputes by making decisions based on evidence and arguments from all involved parties you are already best at, and spend the year making it formal: a qualification, a named responsibility, a specialism people ask for by name. Price it honestly: that is evenings, it is months rather than weeks, and the seats are competitive because everyone in your position is looking at the same door. Before you pay for anything, spend an hour with National Careers Service. It is free and government-funded, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest UK occupations to legal associate professionals (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was solicitors and lawyers: only about 12% of its durable work is work you already do. Your own job splits about 55/45: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “advise on retainers and fee arrangements between clients and their solicitors”, and let the exposed end go.

How that was checked: this job was compared against all 412 UK occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Solicitors and lawyers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already prepare legal documents for court proceedings, and their equivalent is to represent clients in court proceedings. Across both published task lists that is about 12% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 12% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Barristers and judges
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “mediate in costs disputes between solicitors and their clients”. Across the whole of both lists that adds up to about 9% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Legal professionals n.e.c.
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “build and maintain professional relationships with third parties”. Across the whole of both lists that adds up to about 9% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 55% of its task weight, across 108 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
“It’s too late for me to become something else”
You are not starting from zero, and the page shows why: resolving disputes by making decisions based on evidence and arguments from all involved parties is work the software cannot do and you already do it. The move above is a repricing of what you know, not a new career. Nobody who has just left college has that.
“I should learn to code”
Almost certainly not. The value in your job is moving toward checking, deciding and answering for the output, not toward writing the software. A weekend of Python will not change your position; the error list from this week will.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United Kingdom figures

The United States splits this work across more than one official group, of which Judicial Law Clerks is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United States page →partial match

The other groups this work is counted across:

In US official statistics this job is counted as Judicial Law Clerks, Paralegals and Legal Assistants, Title Examiners, Abstractors, and Searchers, Legal Support Workers, All Other, Bailiffs, Private Detectives and Investigators and Gambling Surveillance Officers and Gambling Investigators. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

In England:
National Careers Service
A free hour with a government-funded careers adviser is worth more than another evening of reading. In England that's the National Careers Service.
Free, government-funded
- Discover your skills and careers (the skills assessment)
In England:
National Careers Service - Find a course
Search what's actually running near you before you spend anything.
Free to search; individual courses vary
In England:
Free courses for jobs (Level 3 qualifications)
A free Level 3 qualification you already qualify for beats a paid course you don't need.
Free for eligible adults
In England:
Skills Bootcamps
Free, up to 16 weeks, and you get a job interview at the end. In England these are Skills Bootcamps - search what's running near you.
Free for eligible adults in England
- Skills Bootcamps - what they are and who can do them (DfE, Skills for Careers)
- Skills Bootcamps - JobHelp (DWP)
In Scotland:
My World of Work (Skills Development Scotland)
In Scotland it's My World of Work, from Skills Development Scotland.
Free, publicly funded
- Skills Development Scotland
In Wales:
Careers Wales
In Wales it's Careers Wales.
Free, Welsh Government-funded
In Northern Ireland:
Careers Service Northern Ireland
In Northern Ireland it's the Careers Service on nidirect.
Free, Department for the Economy-funded

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for legal associate professional, and we are not going to point you at the nearest one and call it a fit.

The working behind that

RE-REVIEWED in routes.v3 against The AI Authority's actual published Problems; decline STANDS, and the reason is now content rather than the cap. Its Problems and its one course cover business documents, team workflow standards, client-data handling and approval gates. None of them addresses legal document review, privilege, citation checking or the consequences of getting a legal filing wrong. and §7.1 both flagged this mapping as the slice's most likely overreach and reading the Space confirms it. Kept in heldEntries with its evidence so the call stays inspectable.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 55% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for legal associate professional. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for paralegals and legal associates launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for paralegals and legal associates yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for paralegals and legal associates existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for paralegals and legal associates launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Legal associate professionals?: Not as a job, but it is already doing parts of the work. Across the 108 official task statements scored for Legal associate professionals (United Kingdom, SOC 3520), 55% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 56 out of 100 (range 51–62, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Legal associate professionals” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Assist with processing, investigating, and resolving returned correspondence” (93/100, very high); “Search files to obtain information for the court” (93/100, very high); “Draft meeting agendas for organisational and administrative purposes” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Legal associate professionals” stay human?: About 24% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Attend costs assessments to evaluate financial implications” (4/100, minimal); “Negotiate with landowners during site visits to secure land access” (4/100, minimal); “Advocate at costs-related hearings to represent financial interests” (6/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Legal associate professionals” do about AI?: Start from the ledger rather than the headline: 55% of this job's weighted core work is exposed, and roughly 24% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Legal associate professionals calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 108 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

About the data on this page

Provisional, because the ONS revises this figure in the autumn.
This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
15 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: gaisi-indexProcessing: catalogue-bridge → ssc-relatedness-weighting → task-scoring → score-aggregation
Task weights: gaisi-index (relatedness)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: ashe-t14 (ASHE 2025 provisional (reference April 2025))nomis-aps (Apr 2025-Mar 2026 (latest APS 12-month period))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

How we score a job Download this release Look up another job

Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.