# Judicial Law Clerks

> Assist judges in court or by conducting research or preparing legal documents.

- **SOC code:** 23-1012.00
- **Canonical URL:** https://singulariki.com/roles/role-23-1012-00
- **Also known as:** Judicial Assistant, Judicial Clerk, Judicial Law Clerk, Law Clerk, Appellate Law Clerk, Career Judicial Law Clerk, Career Law Clerk, Law Researcher
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Prepare briefs, legal memoranda, or statements of issues involved in cases, including appropriate suggestions or recommendations.
- Research laws, court decisions, documents, opinions, briefs, or other information related to cases before the court.
- Draft or proofread judicial opinions, decisions, or citations.
- Confer with judges concerning legal questions, construction of documents, or granting of orders.
- Review complaints, petitions, motions, or pleadings that have been filed to determine issues involved or basis for relief.
- Keep abreast of changes in the law and inform judges when cases are affected by such changes.
- Attend court sessions to hear oral arguments or record necessary case information.
- Enter information into computerized court calendar, filing, or case management systems.
- Verify that all files, complaints, or other papers are available and in the proper order.
- Review dockets of pending litigation to ensure adequate progress.
- Communicate with counsel regarding case management or procedural requirements.
- Respond to questions from judicial officers or court staff on general legal issues.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Law and Government _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Written Comprehension _(ability)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Expression _(ability)_
- Writing _(essential_skill)_
- Oral Expression _(ability)_
- Speaking _(essential_skill)_
- Inductive Reasoning _(ability)_

**Skills in demand:**
- Reading Comprehension _(Common Skill)_
- English Language _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Learning _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Thomson Reuters Westlaw _(in demand)_
- Aderant CompuLaw
- Advanced Technologies Class Act
- American Legalnet eDockets

## AI exposure & outlook

- **AI task-overlap index:** 66th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 99th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 78th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 20th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 44th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 2.5% growth (About average); 1k annual openings; 14.5k → 14.9k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $60,400; 13,220 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 45% automation, 41% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Prepare briefs, legal memoranda, or statements of issues involved in cases, including appropriate suggestions or recommendations. _(1.1% of measured AI use; directive)_
- Review complaints, petitions, motions, or pleadings that have been filed to determine issues involved or basis for relief. _(0.6% of measured AI use; directive)_
- Draft or proofread judicial opinions, decisions, or citations. _(0.5% of measured AI use; directive)_
- Research laws, court decisions, documents, opinions, briefs, or other information related to cases before the court. _(0.5% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me prepare briefs, legal memoranda, or statements of issues involved in cases, including appropriate suggestions or recommendations.
- Help me review complaints, petitions, motions, or pleadings that have been filed to determine issues involved or basis for relief.
- Help me draft or proofread judicial opinions, decisions, or citations.
- Help me research laws, court decisions, documents, opinions, briefs, or other information related to cases before the court.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-23-1012-00_