Will AI replace Administrative Law Judges, Adjudicators, and Hearing Officers?
Estimated risk score: 61 out of 100
Moderate 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 (42 to 80).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 23-1021.00 · 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: 5 of its 14 rated tasks. In O*NET’s words.
- Prepare written opinions and decisions.
- Authorize payment of valid claims and determine method of payment.
- Review and evaluate data on documents, such as claim applications, birth or death certificates, or physician or employer records.
- Schedule hearings.
- Explain to claimants how they can appeal rulings that go against them.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 2 of its 14 rated tasks. In O*NET’s words.
- Monitor and direct the activities of trials and hearings to ensure that they are conducted fairly and that courts administer justice while safeguarding the legal rights of all involved parties.
- Issue subpoenas and administer oaths in preparation for formal hearings.
What the job is
Conduct hearings to recommend or make decisions on claims concerning government programs or other government-related matters. Determine liability, sanctions, or penalties, or recommend the acceptance or rejection of claims or settlements.
Also called: Hearings Officer, Administrative Judge, Administrative Law Judge, Administrative Hearings Officer, Appeals Officer, Appeals Referee, County Ordinary, Appeals Examiner.
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