AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Judicial Law Clerks

Strong

AI agents could handle several recurring digital workflows in this job, while people remain responsible for judgment and final decisions.

Where agents can help most

  1. 1

    Review new case law for motions

    Use an agent to watch recent opinions, statutes, and docket entries tied to a pending motion, then compare them with the issues before the court and draft a short memo with cited authorities.

  2. 2

    Check draft citations and wording

    Use an agent to proofread a draft opinion or order against the case file, docket, and source citations, then mark wording problems, broken references, and places where the draft needs a cleaner citation.

  3. 3

    Review filings and identify issues

    Use an agent to read a new complaint, motion, or pleading alongside the docket, pull out the requested relief and likely procedural issues, and draft a short issue memo.

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O*NET-SOC 23-1012.00 · #69 of 923

Result context

How to read this result

Assist judges in court or by conducting research or preparing legal documents.

National position
#69 of 923 occupations
Top 8% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 81/100
Meaningful work covered
74%

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

Review new case law for motions

How you could use an agent

Use an agent to watch recent opinions, statutes, and docket entries tied to a pending motion, then compare them with the issues before the court and draft a short memo with cited authorities. It can highlight new cases or changes that may matter so the judge can review them quickly.

Where you stay involved

You read the memo, check the citations, and decide what legal questions deserve the judge’s attention. You do not make the legal call; you flag the issue clearly and let the judge determine the effect on the case.

Review level: High

2

Check draft citations and wording

How you could use an agent

Use an agent to proofread a draft opinion or order against the case file, docket, and source citations, then mark wording problems, broken references, and places where the draft needs a cleaner citation. It can return a corrected draft and a list of items you should review more closely.

Where you stay involved

You check the marked changes, decide whether any wording needs human revision, and bring substantive issues to the judge. You only make the proofreading and consistency edits that do not change the meaning.

Review level: High

3

Review filings and identify issues

How you could use an agent

Use an agent to read a new complaint, motion, or pleading alongside the docket, pull out the requested relief and likely procedural issues, and draft a short issue memo. It can also check whether the file set is complete and list anything missing from the packet.

Where you stay involved

You review the memo, decide what needs the judge’s attention, and handle any filing defect or legal problem that cannot be resolved from the papers. You do not cure the case or decide the motion yourself.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

77 / 100

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

Importance & frequency81
AI capability85
Digital actionability90
End-to-end leverage78
Safety & reversibility71
Meaningful-work coverage
74%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
18 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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