Will AI replace Administrative Law Judges, Adjudicators, and Hearing Officers?
On paper, AI could touch ~50% of the work in Administrative Law Judges, Adjudicators, and Hearing Officers — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 23-1021
How your 12 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~50%). By late 2025, real-world AI use had reached about 30% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Read this as a range, not a verdict
The signals here partly disagree — AI's theoretical reach (~50%) and its real-world use (~30%) tell different stories. AI-risk scores also shift a lot by which model does the rating (2.7%–51.5% in one 2026 study), so this is a direction of travel, not a fixed answer.
See all 12 tasks, ratedBased on real task-level AI scores — click to collapse
- Prepare written opinions and decisions.
- Explain to claimants how they can appeal rulings that go against them.
- Determine existence and amount of liability according to current laws, administrative and judicial precedents, and available evidence.
- Authorize payment of valid claims and determine method of payment.
- Conduct hearings to review and decide claims regarding issues, such as social program eligibility, environmental protection, or enforcement of health and safety regulations.
- Research and analyze laws, regulations, policies, and precedent decisions to prepare for hearings and to determine conclusions.
- Review and evaluate data on documents, such as claim applications, birth or death certificates, or physician or employer records.
- Recommend the acceptance or rejection of claims or compromise settlements according to laws, regulations, policies, and precedent decisions.
- Rule on exceptions, motions, and admissibility of evidence.
- Confer with individuals or organizations involved in cases to obtain relevant information.
- 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.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.