3+ years practicing law in a leading firm, in-house, government, or legal AI startup.
Strong background in drafting, negotiating, litigating, or advising with expertise in legal reasoning.
Comfortable using data and AI tools.
Ability to thrive in ambiguous environments with a proven competitive track record.
Collaborative and humble working style with strong client-facing skills.
Bonus: Experience with Python, legal technology, or complex legal areas.
Responsibilities
Own legal-domain engagements with AI lab researchers from start to finish.
Define quality standards for correct legal answers across various practice areas.
Translate lab requirements into clear specifications for datasets and evaluations.
Recruit and guide a network of legal experts to produce data.
Analyze data and AI outputs to identify gaps and enhance efficiency.
Coordinate with engineering and operations teams to ensure timely delivery.
Benefits
Opportunity to work at the intersection of law and AI.
Collaborative team environment with high ownership.
Engagement with frontier AI labs and cutting-edge technology.
Client-facing role that leverages legal expertise.
Onsite work in a vibrant San Francisco location.
Full Job Description
Location: San Francisco, CA
Work Model: Onsite
Industry: Applied AI / AI research data
Compensation: $130K-$200K base, $400K OTE The Opportunity
As Senior Project Lead for the legal vertical, you will sit at the intersection of law, AI, and operations, defining what "correct" looks like in legal AI. You will partner directly with frontier AI labs to scope and deliver legal datasets and evaluations that improve how models reason about the law.
This is a client-facing, high-ownership role for a trained lawyer who is comfortable with data and AI tools and wants to apply real legal judgment to frontier model development. You will hit the ground running on a small, collaborative team. Responsibilities
Own legal-domain engagements with frontier AI lab researchers end to end, from scoping to delivery.
Define quality standards and rubrics for what a correct legal answer looks like across practice areas.
Translate lab requirements into clear specifications for legal datasets and evaluations.
Recruit, guide, and quality-check a network of legal domain experts producing the data.
Use data analysis and AI tools to review output, spot gaps, and improve throughput.
Coordinate with engineering and operations teams to deliver on time and at a high bar.
Requirements
JD or equivalent legal qualification.
3+ years practicing law at a leading firm, in-house at a sophisticated company, at a government or regulatory body, or at a legal AI startup.
A substantive legal track record in drafting, negotiating, litigating, or advising, with deep command of legal reasoning and research methodology.
Comfort working with data and AI tools.
High agency in ambiguous environments and a competitive track record.
A collaborative, humble, low-ego working style with strong client-facing skills.
Bonus: Python or hands-on data analysis; legal technology, e-discovery, or contract analytics experience; technically demanding practice areas such as securities, antitrust, tax, or patent prosecution; multi-jurisdictional experience.
