3+ years practicing law in diverse settings (leading firms, in-house, or legal AI startups)
JD or equivalent; experience in drafting, negotiating, or advising roles
Strong understanding of legal reasoning and research methods
Ability to work independently and thrive in ambiguous situations
Analytical skills for deconstructing complex legal issues
Passion for AI and an entrepreneurial mindset
Proven success in competitive environments
Excellent leadership and communication skills
Comfort with AI tools and data handling
Responsibilities
Partner with AI labs to identify and fulfill legal data needs
Recruit and lead legal contractors across various specialties
Design specifications for legal reasoning datasets and tasks
Establish grading standards for evaluating legal reasoning accuracy
Oversee projects from initial scoping to final delivery in dynamic contexts
Support operational improvements and project coordination through analysis
Benefits
Opportunity to work at the intersection of law and AI technology
Engage directly with cutting-edge frontier AI labs
Lead teams with a focus on high-quality legal output
Participate in shaping standards for legal AI training
Dynamic work environment with a focus on innovation
Full Job Description
Overview
Responsibilities
Project and client management: Partner directly with frontier AI labs on their legal data and evaluation needs - scoping the problem, translating it into a deliverable program, and driving revenue.
Manage expert contractor teams: Recruit and lead practicing attorneys and specialists across practice areas and jurisdictions - litigation, corporate and M&A, regulatory, IP, tax, employment - and hold a high bar on the quality of what they produce.
Shape AI training: Design the specifications behind legal reasoning datasets, contract and document review tasks, statutory and case-law interpretation problems, multi-step research workflows, and the rubrics used to grade them.
Define what "correct" means: Build the grading standards and evaluation criteria that let a lab distinguish real legal reasoning from confident-sounding error, including citation integrity and jurisdictional accuracy.
End-to-end execution: Own projects from scoping through final delivery, in a fast-moving environment where the spec often does not exist yet.
Operational impact: Support initiatives across building, analysis, coordination, and
Required Qualifications
3+ years practicing law at a leading firm, in-house at a sophisticated company, a government or regulatory body, or a legal AI startup.
JD (or equivalent qualification) and a track record of substantive legal work: you have drafted, negotiated, litigated, or advised, not just coordinated.
Deep command of legal reasoning and research methodology, and strong opinions about what separates rigorous analysis from surface-level answers.
High agency and the ability to execute in ambiguity; comfort defining the problem before solving it.
Analytical ability; can break down complex legal problems and work flows into component parts.
Genuine passion for AI and interest in entrepreneurship.
Demonstrated track record of competitive success.
Strong leadership and communication skills.
Comfort with data and AI tools.
Preferred Qualifications
Python proficiency or hands-on experience with data analysis.
Experience with legal technology, e-discovery, contract analytics, or AI-assisted legal workflows.
Depth in a technically demanding practice area (securities, antitrust, tax, patent prosecution, complex regulatory).
Multi-jurisdictional or non-US legal experience.
Experience using AI tools to automate workflows and build products.
