Will AI replace Arbitrators, Mediators, and Conciliators?
Estimated risk score: 59 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 (40 to 78).
For the occupation as a whole, from ratings of its 20 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 23-1022.00 · 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: 8 of its 20 rated tasks; the first 6 are shown. In O*NET’s words.
- Prepare written opinions or decisions regarding cases.
- Apply relevant laws, regulations, policies, or precedents to reach conclusions.
- Prepare settlement agreements for disputants to sign.
- Research laws, regulations, policies, or precedent decisions to prepare for hearings.
- Set up appointments for parties to meet for mediation.
- Authorize payment of valid claims.
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 20 rated tasks. In O*NET’s words.
- Issue subpoenas or administer oaths to prepare for formal hearings.
- Participate in court proceedings.
What the job is
Facilitate negotiation and conflict resolution through dialogue. Resolve conflicts outside of the court system by mutual consent of parties involved.
Also called: Mediator, Arbitrator, Labor Arbitrator, Alternative Dispute Resolution Coordinator (ADR Coordinator), Arbiter, Ombudsman, ADR Mediator, Legal Mediator.
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