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 help people solve legal problems by giving advice, representing them in court, and making sure their rights are protected.
This role is evolving
The career of a lawyer is labeled as "Evolving" because AI is transforming how legal work is done, especially by speeding up research and handling routine tasks like document review. Lawyers are learning to use AI tools to save time and reduce costs, but they still need to oversee AI's work to ensure accuracy and reliability.
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 lawyer is labeled as "Evolving" because AI is transforming how legal work is done, especially by speeding up research and handling routine tasks like document review. Lawyers are learning to use AI tools to save time and reduce costs, but they still need to oversee AI's work to ensure accuracy and reliability.
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
High 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
Lawyers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
AI today is being used as a helper in law, not a replacement. For example, some tools can quickly sift through huge libraries of cases and documents (e-discovery) to surface relevant laws or facts [1] [1]. They can even suggest draft language for briefs, contracts or wills.
In one review, analysts found about 40–45% of routine legal work (like document review or form-filling) could be handled by AI [1] [1]. However, these AI drafts often have mistakes or “hallucinations.” In 2025 judges reported seeing AI‐written briefs with made-up case citations [2], so lawyers must carefully review and fix all AI output [1] [2]. Tasks that need judgment, creativity or people‐skills – like arguing a point in court, negotiating a settlement, or advising a client – remain mostly human.
In short, AI can speed up research and paperwork (reviewing contracts, finding precedents, drafting initial text) [1] [1], but lawyers still do the final thinking, interpreting, and client communication.

AI in the real world
Lawyers are gradually adding AI because it can save time and cut costs. Big firms spend a lot on high-priced attorneys, so even small productivity gains pay off. One recent survey estimated generative AI could free up to a week of work per lawyer each month – roughly \$100,000 in extra billable time per lawyer per year [3].
In that survey 77% of legal pros said AI will have a “high or transformational” impact on their work and 78% called it a “force for good” [3]. On the other hand, many lawyers are still learning: a 2023 American Bar Association poll found nearly 60% of attorneys felt they didn’t know enough about AI tools to judge them [4].
Several factors affect how fast law firms adopt AI. Commercial AI tools are available (for research, e-discovery, contract review, etc.), but firms must pay for them and train staff. High lawyer salaries mean the ROI can be good, but legal work has strict confidentiality and accuracy rules, so firms move carefully.
Smaller firms or solo lawyers may wait until tools prove reliable, while larger firms race to stay competitive. In all cases, ethics and error‐risk slow things: lawyers must follow rules about client data and can’t blindly trust a computer’s suggestion. Over time, experts expect steady adoption – AI handling more routine document work, while human lawyers focus on strategy, negotiation and client trust [1] [3].

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Median Wage
$151,160
Jobs (2024)
864,800
Growth (2024-34)
+4.1%
Annual Openings
31,500
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
Present and summarize cases to judges and juries.
Represent clients in court or before government agencies.
Examine legal data to determine advisability of defending or prosecuting lawsuit.
Present evidence to defend clients or prosecute defendants in criminal or civil litigation.
Study Constitution, statutes, decisions, regulations, and ordinances of quasi-judicial bodies to determine ramifications for cases.
Probate wills and represent and advise executors and administrators of estates.
Advise clients concerning business transactions, claim liability, advisability of prosecuting or defending lawsuits, or legal rights and obligations.
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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