Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They assist judges by researching legal issues, preparing briefs, and helping with courtroom procedures to ensure the court runs smoothly and fairly.
This role is evolving
The career of a Judicial Law Clerk is labeled as "Evolving" because AI is starting to assist with tasks like organizing documents and conducting legal research, making these processes faster. However, human clerks are still crucial for double-checking AI's work and providing thoughtful analysis that AI cannot replicate.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of a Judicial Law Clerk is labeled as "Evolving" because AI is starting to assist with tasks like organizing documents and conducting legal research, making these processes faster. However, human clerks are still crucial for double-checking AI's work and providing thoughtful analysis that AI cannot replicate.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Judicial Law Clerks
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today’s technology is starting to help with some law clerk tasks, but people are still very important. For example, courts now have electronic case‐management systems and even trial “robot assistants” that help find filings and answer basic questions [1]. These tools can speed up organizing documents (a task rated 65% automatable), but a human clerk still needs to double-check and make sense of the results.
AI has also begun to assist with legal research (automation ~60%). Surveys of lawyers report that about 65% expect AI to help research cases [2], and major legal databases like Westlaw use AI helpers to “significantly reduce” the manual work of finding relevant cases [3]. In practice, tools can search laws and cases faster, but clerks still review and interpret the findings.
For reviewing filings and drafting quick summaries (55% automation), AI tools are emerging as helpers. Some software can scan complaints or motions and highlight key issues, though a person must assess those highlights. In one recent example, a federal judge had an AI tool and his law clerks both summarize trial testimony to compare accuracy [4].
The AI’s draft helped speed up the work, but the judge only put the human version into the official record – showing that AI can assist but human judgment remains central. Routine questions from judges or staff (30% automation) might be answered by simple chatbots or FAQ systems today, but detailed legal questions still need a real person. Even attending court (20%) and talking with a judge (15%) rely on human listening, note-taking, and reasoning that AI can’t do yet.

AI in the real world
AI tools are already in the market for many legal tasks, but courts and judges tend to adopt them cautiously. On one hand, there is real interest: surveys find that many law firms and clients expect AI to be used for research and drafting [2] [3]. On the other hand, only a small share use it daily so far – one study found only about 12% of legal organizations have integrated generative AI into regular practice [3].
Cost and trust are big factors. Court technology budgets are often limited, and people worry about mistakes. For instance, judges note that AI must meet strict court rules and remain accurate, which makes them hold off on fully automating decisions [4].
Even community members have voiced worry about staff being replaced by machines without clear benefits [1].
At the same time, new policies encourage responsible AI use. A 2023 U.S. Executive Order urged agencies (including courts) to develop safe, transparent AI systems in areas like legal research and document review [3]. In practice, adopting AI will likely be gradual.
Courts may start by using AI to cut repetitive work so clerks have more time for creative, human-centered tasks. The hopeful view is that AI will handle routine parts of the job while law clerks focus on reasoning, analysis, and advice – skills AI cannot truly replace. In short, technology may change some job tasks, but the need for thoughtful people in the legal process remains strong [2] [3].

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Median Wage
$60,400
Jobs (2024)
14,500
Growth (2024-34)
+2.5%
Annual Openings
1,000
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Confer with judges concerning legal questions, construction of documents, or granting of orders.
Attend court sessions to hear oral arguments or record necessary case information.
Participate in conferences or discussions between trial attorneys and judges.
Communicate with counsel regarding case management or procedural requirements.
Respond to questions from judicial officers or court staff on general legal issues.
Supervise law students, volunteers, or other personnel assigned to the court.
Keep abreast of changes in the law and inform judges when cases are affected by such changes.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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