R&D Attorney, Transactional

🌍 Remote, USA 💹 Full-time 🕐 Posted Recently

Job Description

Location

We are hiring for this role to be based in the United States or Canada. This is a remote role unless you fall within the following parameters. If you live within approximately 50 miles of our San Mateo, CA or Provo, UT office, the position follows a hybrid schedule with in-office days on Mondays, Wednesdays, and Fridays.

About The Role

As an R&D Attorney, you’ll be instrumental in measuring and continually improving the substantive accuracy and quality of the legal information we provide. We're delivering a product that legal teams love, and in this role, you’ll leverage your corporate-commercial/transactional legal experience to guide our AI toward practical excellence. You’ll set the bar for how legal AI behaves—optimizing system prompts, designing evaluations, and ensuring every output aligns with real-world legal standards. At a fast-moving, product-market-fit stage startup, your contributions won’t just be meaningful, they’ll help define our trajectory.

    The Impact You Will Have
  • Shape the accuracy, reliability, and overall quality of AI outputs that hundreds of legal teams trust in their daily work.
  • Lead the development of cutting-edge legal evaluations that set new standards for assessing AI in practice.
  • Drive product enhancements by translating substantive expertise into features that improve usability, confidence, and outcomes for users.
  • Help build the leading legal AI platform for in-house teams.
    What You’ll Do
  • Design and run rigorous evaluations measuring the quality of our AI-generated outputs in order to ensure they meet the high standards expected by top-tier legal professionals.
  • Review and validate product outputs for accuracy, relevance, comprehensiveness, helpfulness, etc.
  • Collaborate closely with the engineering and GTM teams to identify performance gaps, diagnose their causes, and develop solutions.
  • Translate nuanced, real-world legal expectations into concrete, testable prompts and evaluation criteria.
  • Draft and iterate on system prompts for our various AI systems.
  • Assess foundational model performance and suitability for different legal tasks.
  • Build and annotate complex legal datasets and document collections.
  • Serve as the legal voice of quality, advocating for precision, consistency, and clarity in AI outputs.
  • Act as the bridge between technical teams and legal domain expertise, translating complex legal concepts into clear product requirements and vice versa.
  • Provide domain-specific legal expertise that guides feature development and product roadmap decisions.
  • Ideate new products based on your deep understanding of legal teams’ pain points.
  • Participate in customer calls and feedback sessions.
  • Proactively develop and continually learn new technical skills.
  • Take on additional projects and tasks as needed in response to the evolving needs of a fast-growing startup.
    Required Experience
  • Law degree with 3+ years of corporate-commercial/transactional legal experience, ideally gained in an in-house environment.
  • Deep familiarity with drafting, review, and negotiating of contracts.
  • Experience using generative AI for legal work.
  • Experience conducting evaluations of generative AI outputs.
  • Strong quantitative and analytical skills.
  • Ability to design and interpret evaluation metrics and to abstract legal reasoning and processes into logical and repeatable steps.
  • Exceptional cross-disciplinary communication and collaboration skills.
  • Technologically curious with an aptitude for learning new tools, software, and skills.
  • Meticulous attention to detail.
  • Ability to work cross-functionally with both GTM and engineering/product teams.
    Nice To Have
  • You are already a GC AI user.
  • You’re nerdy about legal tech, especially in areas like prompt engineering and quality assurance.
  • You care about user experience, especially how legal professionals interact with and trust AI assistants.
  • You’ve worked closely with software engineers before.

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