Partner & General Counsel - Legal Domain Expert | $100-$150/hr Remote
Overview
A senior legal domain expert is sought to collaborate with a top AI lab on frontier GenAI initiatives. You’ll shape how AI models reason about real world legal work by reviewing tasks, crafting instruction specs, and building benchmarks that demonstrate genuine improvement. This role favors a practicing specialist who brings deep legal know-how and a hands-on approach with AI tools.
What You'll Do4
- 1Assess the quality of legal knowledge work produced by the model and identify gaps in reasoning or professional standards
- 2Create precise instruction specifications and develop golden solutions for legal problems to guide model behavior
- 3Design and curate challenging legal evaluation sets and datasets to test domain capabilities
- 4Collaborate with researchers and related specialists to align evaluation criteria and translate tacit legal judgment into teachable benchmarks
Requirements6
- 1Juris Doctor from an accredited law school with strong academic credentials
- 25+ years of substantive post-qualification legal practice at a reputable organization
- 3Deep specialization in at least one core practice area such as corporate, litigation, regulatory, IP, employment, or tax
- 4Active admission to a U.S. state bar in good standing
- 5Experience using large language models in professional work and the ability to discern sound reasoning from superficially plausible results
- 6Excellent written communication and the ability to provide clear, structured feedback
Who Should Apply
Ideal candidates are senior in-house counsel, partners, or seasoned associates who bring practical legal experience and comfort working with advanced AI systems. You should be ready to operate on-site in the Bay Area several days a week and contribute to cross-disciplinary teams that blend law with AI research.
Salary Insight
Compensation ranges from $100.00 to $150.00 per hour.
Location
Required Skills
Application Tip
Highlight a concrete example of a past project where you improved model performance on a legal task and describe how you would approach benchmarking for a new domain.
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