Headline risk
7%
Low RiskJudicial law clerks
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Weighted task overlap from O*NET
Median annual from BLS OEWS
BLS employment projections
O*NET job zone level
Occupation profile
Assist judges in court or by conducting research or preparing legal documents.
Task evidence
100% weighted task match · 17% effective coverage
Method contract
structural_pressure = exposure × (1 - bottleneck)
headline_risk = structural_pressure × (1 - country_demand_resilience)
United States Now
Median Wage
USD 60,400
Employment 2024
14.5K
Projected Change
2.5%
Openings
1.0K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Prepare briefs, legal memoranda, or statements of issues involved in cases, including appropriate suggestions or recommendations. AI 78%
- 2. Confer with judges concerning legal questions, construction of documents, or granting of orders. AI 0%
- 3. Research laws, court decisions, documents, opinions, briefs, or other information related to cases before the court. AI 0%
- 4. Review complaints, petitions, motions, or pleadings that have been filed to determine issues involved or basis for relief. AI 82%
- 5. Draft or proofread judicial opinions, decisions, or citations. AI 0%
- 6. Keep abreast of changes in the law and inform judges when cases are affected by such changes. AI 0%
Technologies
Requirements
Work context
Worker profile
Median age 43.0 · 147K employed
Under 25: 10% · 25–54: 64% · 55+: 27%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
major_group_fallback · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.