Strategic Projects Lead - Legal
TLDR
Design legal reasoning datasets and evaluation standards for frontier AI labs, while leading attorney teams and owning projects from scoping through delivery.
About AfterQuery
AfterQuery is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it.
Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
Why Apply
Massive Opportunity: We are one of the fastest-growing YC companies in our batch, and we believe we can become one of the fastest-growing YC companies of all time.
Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.
Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.
Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.
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, and coordination
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.
Company Benefits (For Eligible Employees):
Health Insurance: Medical, Vision, Dental
401(k) with Employer Match
Daily Meals: Daily UberEats Stipend
Monthly Wellness Stipend
Commute Covered
We are an equal opportunity employer committed to providing a workplace free from discrimination and harassment. Employment decisions are made without regard to legally protected characteristics under applicable federal, state, or local law.
We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. Reasonable accommodations are available to qualified individuals with disabilities and for sincerely held religious beliefs, as required by law. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.
Benefits
Equity Compensation
meaningful equity
Free Meals & Snacks
Daily Meals: Daily UberEats Stipend
Health Insurance
Health Insurance: Medical, Vision, Dental
Home Office Stipend
Commute Covered
Learning Budget
401(k) with Employer Match
Wellness Stipend
Monthly Wellness Stipend
AfterQuery is an applied research lab that develops curated data solutions aimed at enhancing foundation model development. We cater specifically to frontier AI labs by providing the necessary training data and evaluation infrastructure, directly contributing to the advancement of AI systems.
- Founded
- Founded 2025
- Industry
- Internet Software & Services