Juges
JuridiqueExposition à l'IA
- Source des données: BLSPublié: 2026-08
Élevée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: 2026-03
0.311
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: 2025
0.31
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 65% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Afficher 15 tâches masquées| Task | Claude.aiRaw / share % |
|---|---|
Write decisions on cases.23-1023 | 0.019741.4 |
Research legal issues and write opinions on the issues.23-1023 | 0.009419.7 |
Provide information regarding the judicial system or other legal issues through the media and public speeches.23-1023 | 0.009018.9 |
Read documents on pleadings and motions to ascertain facts and issues.23-1023 | 0.006012.6 |
Advise attorneys, juries, litigants, and court personnel regarding conduct, issues, and proceedings.23-1023 | 0.00357.4 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Sentence defendants in criminal cases, on conviction by jury, according to applicable government statutes.O*NET Task ID 5644 | 0.5 |
Rule on admissibility of evidence and methods of conducting testimony.O*NET Task ID 5645 | 0.5 |
Preside over hearings and listen to allegations made by plaintiffs to determine whether the evidence supports the charges.O*NET Task ID 5646 | 0.5 |
Read documents on pleadings and motions to ascertain facts and issues.O*NET Task ID 5647 | 0.5 |
Interpret and enforce rules of procedure or establish new rules in situations where there are no procedures already established by law.O*NET Task ID 5648 | 0.5 |
Monitor proceedings to ensure that all applicable rules and procedures are followed.O*NET Task ID 5649 | 0.5 |
Advise attorneys, juries, litigants, and court personnel regarding conduct, issues, and proceedings.O*NET Task ID 5650 | 0.5 |
Research legal issues and write opinions on the issues.O*NET Task ID 5651 | 0.5 |
Conduct preliminary hearings to decide issues, such as whether there is reasonable and probable cause to hold defendants in felony cases.O*NET Task ID 5652 | 0.5 |
Write decisions on cases.O*NET Task ID 5653 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Informations professionnelles
Évolutions récentes concernant ce métier
mars 2026: Same paper assigns ATE 0.43 by 2027 in SF Bay Tier 1. 100% of legal occupations in scope cross moderate-risk threshold by 2027 in Tier 1; only 14.3% cross in Tier 3 (New York) by 2030.
[Source: arXiv 2604.00186 (Gupta & Kumar, 2026)]mars 2026: ATE framework identifies judges among highest-risk occupations (ATE 0.43-0.47) for agentic AI displacement — AI systems increasingly capable of end-to-end legal reasoning workflows.
[Source: Gupta & Kumar (2026) Agentic AI and Occupational Displacement]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.