Will AI take my lawyer job?

Law · SOC 23-1011
53
/ 100
AI-Proof Score · law

Lawyer

Mixed Exposure
In 1 year
49
↓ 4 pts
In 3 years
44
↓ 9 pts
In 5 years
39
↓ 14 pts

Tasks at risk

  • First-draft contracts, memos, and discovery responses
  • Case-law research and citator checks
  • Standard due-diligence document review

AI-resistant skills to build

  • Court appearance and oral advocacy
  • Client-relationship trust and counseling
  • Negotiation and judgment under uncertainty

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What this score means for Lawyer.

The Lawyer role sits in the mixed-exposure band. Multiple high-value tasks are reachable by current models; others remain firmly human. Senior practitioners who learn to direct AI tools will get more leverage. Mid-career professionals should plan a deliberate upskilling cycle in the next 12 months. Over the next 5 years the score is projected to drift down by 14 points based on the law vertical's drift rate. Quarterly recomputes track the actual change.

Author note: Among the most AI-exposed white-collar roles. Document review, research, and drafting are squarely in scope; courtroom and client-counseling work is durable.

The four signals.

Eloundou α
27%
Tasks an LLM can do directly.
Eloundou β
66%
Tasks reachable via LLM-powered software.
Index intensity
48/100
How heavily real users deploy AI on this work today.
Automation share
45%
Of that usage, the share that is replacement vs assistance.

All four are weighted into the composite. See the formula →

What to do this quarter.

The single highest-leverage move for someone in this role this quarter:

Harvey, Hebbia, or comparable legal-LLM platforms for research and discovery.

The free 12-week email plan above expands this into a sequenced plan. The $19 personalized roadmap goes further: ranked tools, credential-value shifts, pivot scenarios, and quarter-by-quarter targets for the next 12 months.

Other roles in Law.

Sources for this score.