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Employment Lawyer

Based on 20 assessments

31% Moderate risk

Average realistic automation risk across all Employment Lawyer profiles in the dataset.

Raw potential
67%
Realistic risk
31%
Research benchmark ?
48%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 20 profiles. Middle half of Employment Lawyers score between 28% and 34%.

0% 50% 100%
p10 · 26%
36% · p90
On-screen work 51%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 38%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 10%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Employment Lawyer, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Interviewing clients and witnesses to gather facts about workplace disputes, discrimination claims, or termination issues
deep expertise
28% AD 8%
Representing clients in depositions, hearings, or settlement conferences
some context needed
17% AA 2%
Reviewing and drafting employment contracts, offer letters, and policy documents
deep expertise social element
16% DD 27%
Researching employment law statutes, case law, and regulatory updates relevant to client matters
14% DD 65%
Advising clients on legal strategy, risk assessment, and settlement or litigation options in employment disputes
deep expertise
10% AD 7%
Preparing court filings, motions, and legal briefs; managing discovery requests and document review
10% DD 41%
Negotiating settlements, severance agreements, and dispute resolutions with opposing counsel
deep expertise
1% AD 8%

Work as a Employment Lawyer? Map your specific role.

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