Jobs · Legal · New York

Strategic Projects Lead - Legal

Reinforced Learning · Buffalo-Niagara Falls Area · 1 wk ago
LegalFull-time

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 yet exist.
  • 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.

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