Manager of Legal Engineering

About the role

NetDocuments is seeking a Manager of Legal Engineering to own the substantive legal quality of legal intelligence and build the discipline of legal engineering inside our R&D organization.

Responsibilities

• Own how NetDocuments structures legal knowledge.
• Define what must be captured, structured, and surfaced for different matter types and practice areas across products like our Legal Context Graph, improving substantive outcomes for legal professionals, efficiency, and comprehensiveness across the full breadth of legal work.
• Build the evaluation discipline for legal AI at NetDocuments.
• Design and run evaluation harnesses that define what "good" looks like for legal work product, briefs, analyses, extractions, and agent outputs, and prove with rigor that each iteration of our products is better than the last.
• Develop our legal skill strategy.
• Author, test, and validate the skills (structured, executable domain knowledge) that let agents perform substantive legal tasks correctly, and build the testing scaffolding that validates they actually matter.
• Define legal taxonomy and structure.
• Bring frameworks like practice-area ontologies, document typologies, and matter lifecycles into a coherent semantic layer that agents and products can rely on.
• Hire and lead a small team of legal engineers while remaining deeply hands-on yourself.
• Work across all of R&D. Partner with Product, Engineering, and Design teams across our AI, user experience, and platform groups, serving as the substantive legal authority for agentic product decisions.
• Anticipate the questions a legal professional would ask of a matter, a document set, or an agent's output, and ensure our products can answer them.

  Requirements

  • A law degree and real practice experience, including a minimum of 1–3 years as a practicing attorney (firm or corporate legal department), followed by a career that has stayed close to the legal industry through legal technology, knowledge management, innovation leadership, legal data, or similar disciplines.
  • Genuine fluency with modern AI development. You build with tools like Claude Code or Codex, are comfortable in a repository, and may be an active GitHub contributor. You don't need to be a production engineer, but your team should ideally be fluent in building, starting with you.
  • A careful, methodical, rigorous mind. This role is about provability: structured thinking, careful taxonomy, and disciplined testing, not vibes.
  • Deep understanding of how legal work actually happens, what a litigation matter requires versus a transaction, how lawyers reason about documents, and what substantive quality means in legal work product.
  • Comfort operating as a super-IC leader in a high-autonomy environment. You receive context and strategic direction, then determine the execution approach independently.
  • Energetic and conviction about where this is going. You see the agentic future of legal work clearly and want to build it, not study it.

  Qualifications

  Experience building or evaluating legal AI products at a legal technology company, law firm, or corporate legal department. Familiarity with legal taxonomies and standards such as FOLIO. Published work, open-source contributions, or community involvement within the legal engineering, legal innovation, or legal AI ecosystem. Experience designing evaluation frameworks, benchmark datasets, or quality measurement systems for domain-specific AI applications. Experience hiring and leading small, high-leverage technical, legal, or hybrid teams.

  Skills

  Experience with modern AI development, including tools like Claude Code or Codex. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work independently and as part of a team. Experience with legal taxonomies and standards such as FOLIO. Experience with legal engineering, legal innovation, or legal AI ecosystems.

  Benefits

  • 90% healthcare premiums company covered
  • HSA company contribution
  • 401K match at 4% with immediate vesting
  • Flexible PTO (typically 3 to 4 weeks a year)
  • 10 paid holidays
  • Monthly contributions for life activities & wellness
  • Access to LinkedIn Learning with monthly dedicated time to explore

  Pay

  $190,000 - $210,000

  Schedule

  Hybrid, remote-friendly workplace.