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Subject Matter Expert, Legal

OpenAI

San Francisco, CAHybridPosted 2 days ago$284,000 - $315,000/year
Full TimeSenior LevelOthers / Cross FunctionalAI Biotech
Original posting ↗

Summary

We are building AI systems that help people tackle complex, consequential work in the legal industry. Our team works across Research, Product, Engineering, and Go-to-Market to build AI capabilities and products for legal work. We translate the realities of practice into evaluations, training signals, and useful tools, with the ambition of making AI a trusted part of how lawyers research, analyze, draft, and advise.

Job description

About the Team

We are building AI systems that help people tackle complex, consequential work in the legal industry. Our team works across Research, Product, Engineering, and Go-to-Market to build AI capabilities and products for legal work. We translate the realities of practice into evaluations, training signals, and useful tools, with the ambition of making AI a trusted part of how lawyers research, analyze, draft, and advise.

About the Role

We are looking for a Subject Matter Expert in Law who brings the judgment and practical experience developed in a law firm to shaping the next generation of AI. You will help define what excellent legal work looks like, test where our models meet that standard, and turn your findings into better model behavior and product experiences. This is a hands-on individual contributor role at the intersection of legal practice and AI development.

In This Role, You Will

  • Define the quality bar for what top-notch legal work looks like, drawing on real matters and the standards lawyers apply to research, analysis, drafting, document review, and client advice.
  • Design challenging, realistic AI model evaluations with representative facts, source materials, constraints, and deliverables, including cases that test ambiguity, competing arguments, and professional judgment.
  • Create and review reference work such as research memoranda, contract analyses, redlines, diligence findings, and draft legal documents that demonstrate strong reasoning and practical usefulness.
  • Develop rubrics that assess legal accuracy, issue spotting, factual grounding, citation validity, jurisdictional context, and the appropriate treatment of uncertainty.
  • Evaluate model outputs and complete legal workflows, identify recurring failures, and give researchers and engineers specific, actionable feedback supported by examples and corrected work.
  • Partner with Research on datasets, grading methods, and training tasks or environments that strengthen legal reasoning.
  • Test whether model changes address the underlying problems and improve performance on new cases.
  • Work with Product and Engineering to identify valuable use cases, prototype workflows, and translate lessons from evaluations into experiences that fit how lawyers actually work.
  • Collaborate with legal professionals and design partners to refine our standards and test usefulness in practice, applying sound judgment around confidentiality, privilege, data permissions, and professional responsibility.

You Might Thrive in This Role If You

  • Have practiced law at a law firm, with substantial experience producing and reviewing work for real client matters.
  • Bring deep expertise in one or more practice areas, such as commercial transactions, corporate law, litigation, or regulatory work, and curiosity about workflows beyond your specialty.
  • Are an excellent legal researcher and writer who can assess authorities, distinguish strong arguments from plausible ones, and explain how facts and context affect a conclusion.
  • Can make expert judgment explicit: explain why an answer is incomplete, a clause creates risk, or an analysis misses the central issue, and describe what better work would look like.
  • Enjoy working directly with AI tools, exploring their limits, and testing ideas systematically.
  • Can collaborate closely with technical teams and communicate clearly across disciplines.
  • Take ownership in ambiguous settings and are willing to build the first version of an evaluation, reference document, rubric, or workflow, then improve it through feedback.
  • Care deeply about the quality and consequences of legal work, and are motivated by the opportunity to help shape how AI supports the profession.

Especially Strong Candidates May Also Have

  • Experience designing evaluations, benchmarks, datasets, or review frameworks for legal work or frontier AI systems.
  • A track record of improving legal workflows through technology, knowledge management, automation, or new ways of working.
  • Experience training or supervising lawyers, developing practice guidance, or translating complex legal concepts for different audiences.

Requirements

  • Practiced law at a law firm with substantial experience producing and reviewing work for real client matters
  • Deep expertise in one or more practice areas such as commercial transactions, corporate law, litigation, or regulatory work
  • Excellent legal research and writing skills
  • Ability to assess authorities and distinguish strong arguments from plausible ones
  • Ability to explain how facts and context affect a conclusion
  • Ability to make expert judgment explicit and describe what better work would look like
  • Comfort working directly with AI tools and testing ideas systematically
  • Ability to collaborate closely with technical teams and communicate across disciplines
  • Ownership in ambiguous settings and willingness to build first versions of evaluations, reference documents, rubrics, or workflows
  • Care for quality and consequences of legal work

Benefits

  • Medical, Dental & Vision
  • Health Savings Account
  • Flexible Spending Accounts
  • Commuter Benefits
  • 401(k) Matching
  • Paid Parental Leave
  • Paid Time Off
  • Paid Company Holidays
  • Mental Health Support
  • Life Insurance
  • Disability Coverage
  • Learning & Development Stipend
  • Office Meals
  • Relocation Support
  • Equity
  • Performance Bonuses
  • Charitable Donation Matching
  • Wellness Stipends

Company overview

OpenAI is an artificial intelligence research laboratory and company based in San Francisco, California. Founded in 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, and John Schulman, OpenAI initially operated as a non-profit research organization before transitioning to a capped-profit model. The company's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. OpenAI has developed groundbreaking AI technologies including GPT (Generative Pre-trained Transformer) models, DALL-E for image generation, and Codex for programming assistance. Their most notable product, ChatGPT, has revolutionized human-AI interaction and brought large language models to mainstream audiences. OpenAI conducts cutting-edge research in machine learning, natural language processing, computer vision, and reinforcement learning, while also developing practical AI applications that are transforming industries worldwide.

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