Will AI replace Judicial Law Clerks?
Estimated risk score: 73 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (54 to 92).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 23-1012.00 · Legal
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 13 of its 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Draft or proofread judicial opinions, decisions, or citations.
- Enter information into computerized court calendar, filing, or case management systems.
- Verify that all files, complaints, or other papers are available and in the proper order.
- Keep abreast of changes in the law and inform judges when cases are affected by such changes.
- Prepare briefs, legal memoranda, or statements of issues involved in cases, including appropriate suggestions or recommendations.
- Research laws, court decisions, documents, opinions, briefs, or other information related to cases before the court.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 19 rated tasks. In O*NET’s words.
- Participate in conferences or discussions between trial attorneys and judges.
- Perform courtroom duties, including calling calendars, administering oaths, and swearing in jury panels and witnesses.
- Supervise law students, volunteers, or other personnel assigned to the court.
What the job is
Assist judges in court or by conducting research or preparing legal documents.
Also called: Judicial Clerk, Judicial Assistant, Chancery Clerk, Law Researcher, Term Law Clerk, Career Law Clerk, Pro Se Law Clerk, Federal Law Clerk.
Closest jobs we score by hand
In the same field (Legal). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate