AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Lawyers

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Summarize evidence for cases and draft litigation memos

    Use an agent to sort interview notes, witness statements, case documents, and research results into a litigation memo draft.

  2. 2

    Review contracts and suggest edits

    Use an agent to review draft contracts, compare the terms with your deal notes, and flag clauses that may need tighter language or legal review.

  3. 3

    Research legal issues and draft memos

    Use an agent to collect the statutes, cases, regulations, and notes from colleagues on a legal issue, then build a short memo comparing the strongest interpretations.

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O*NET-SOC 23-1011.00 · #323 of 923

Result context

How to read this result

Represent clients in criminal and civil litigation and other legal proceedings, draw up legal documents, or manage or advise clients on legal transactions. May specialize in a single area or may practice broadly in many areas of law.

National position
#323 of 923 occupations
Top 35% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Moderate · 72/100
Meaningful work covered
61%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Summarize evidence for cases and draft litigation memos

How you could use an agent

Use an agent to sort interview notes, witness statements, case documents, and research results into a litigation memo draft. It can pull together the facts, summarize likely arguments and defenses, and organize citations so you have a solid first draft to shape into your own case strategy.

Where you stay involved

You decide what the facts mean, check the authorities, and make the final call on how to proceed with the case.

Review level: High

2

Review contracts and suggest edits

How you could use an agent

Use an agent to review draft contracts, compare the terms with your deal notes, and flag clauses that may need tighter language or legal review. It can produce a redline and issue list so you can move faster through revisions and negotiation comments without losing track of the risky parts.

Where you stay involved

You decide which edits to keep, negotiate the open terms, and approve the final draft before it is sent out or signed.

Review level: High

3

Research legal issues and draft memos

How you could use an agent

Use an agent to collect the statutes, cases, regulations, and notes from colleagues on a legal issue, then build a short memo comparing the strongest interpretations. It can organize the sources and highlight where the law points in different directions so you can focus on the legal judgment.

Where you stay involved

You read the memo, weigh the competing authorities, and decide what advice or position to give the client or team.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

67 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency76
AI capability84
Digital actionability89
End-to-end leverage80
Safety & reversibility33
Meaningful-work coverage
61%
Physical-work modifier
Limited
Safety modifier
Material
Qualitative judgment
No material constraint
O*NET task evidence
22 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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