न्यायाधीश
कानूनीAI एक्सपोजर
- डेटा स्रोत: BLSप्रकाशन: 2026-08
उच्च· सापेक्ष
कमचार सापेक्ष श्रेणियाँबहुत उच्चव्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)
BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
- डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.311
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: 2025
0.31
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 65% इस मान के बराबर या उससे अधिक हैं।
यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Task-level exposure
केवल एक्सपोज़र वाले कार्य| Task | Claude.aiRaw / share % |
|---|---|
Research legal issues and write opinions on the issues.23-1023 | 0.018751.9 |
Write decisions on cases.23-1023 | 0.009726.8 |
Provide information regarding the judicial system or other legal issues through the media and public speeches.23-1023 | 0.00308.3 |
Read documents on pleadings and motions to ascertain facts and issues.23-1023 | 0.00246.6 |
Advise attorneys, juries, litigants, and court personnel regarding conduct, issues, and proceedings.23-1023 | 0.00246.6 |
| Not observed on any surface — 15 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Instruct juries on applicable laws, direct juries to deduce the facts from the evidence presented, and hear their verdicts. | —0 |
Rule on admissibility of evidence and methods of conducting testimony. | —0 |
Preside over hearings and listen to allegations made by plaintiffs to determine whether the evidence supports the charges. | —0 |
Interpret and enforce rules of procedure or establish new rules in situations where there are no procedures already established by law. | —0 |
Monitor proceedings to ensure that all applicable rules and procedures are followed. | —0 |
Award compensation for damages to litigants in civil cases in relation to findings by juries or by the court. | —0 |
Settle disputes between opposing attorneys. | —0 |
Impose restrictions upon parties in civil cases until trials can be held. | —0 |
Sentence defendants in criminal cases, on conviction by jury, according to applicable government statutes. | —0 |
Conduct preliminary hearings to decide issues such as whether there is reasonable and probable cause to hold defendants in felony cases. | —0 |
Supervise other judges, court officers, and the court's administrative staff. | —0 |
Rule on custody and access disputes, and enforce court orders regarding custody and support of children. | —0 |
Grant divorces and divide assets between spouses. | —0 |
Participate in judicial tribunals to help resolve disputes. | —0 |
Perform wedding ceremonies. | —0 |
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 |
Instruct juries on applicable laws, direct juries to deduce the facts from the evidence presented, and hear their verdicts.O*NET Task ID 5643 | 0.0 |
Supervise other judges, court officers, and the court's administrative staff.O*NET Task ID 5656 | 0.0 |
Participate in judicial tribunals to help resolve disputes.O*NET Task ID 5660 | 0.0 |
Perform wedding ceremonies.O*NET Task ID 5661 | 0.0 |
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
व्यावसायिक जानकारी
इस व्यवसाय से जुड़े हालिया बदलाव
अप्रैल 2026: Judges और magistrates OpenAI framework द्वारा insulated listed — regulatory और adjudicative authority AI को delegate नहीं की जा सकती।
[स्रोत: OpenAI Jobs Transition Framework, April 2026]अप्रैल 2026: वही शोधपत्र SF बे टियर 1 में 2027 तक ATE 0.43 निर्धारित करता है। टियर 1 में दायरे की 100% कानूनी नौकरियाँ 2027 तक मध्यम जोखिम सीमा पार; टियर 3 (न्यूयॉर्क) में 2030 तक केवल 14.3%।
[स्रोत: arXiv 2604.00186 (Gupta & Kumar, 2026)]