Legal Engineer

Legora Legora · Vertical AI · New York, NY · Growth

This role is for a Legal Engineer at Legora, an AI-native legal tech company. The role focuses on helping clients maximize their use of the Legora platform, acting as a thought partner, client relationship owner, and product feedback provider. It involves delivering product demos, training, documenting best practices, and guiding clients on the ROI and impact of AI in legal work. The ideal candidate has a legal background, is tech-curious, and can translate between legal and technical disciplines.

What you'd actually do

  1. Acting as a thought partner to clients - building trusted relationships, addressing tricky pain points, and identifying high-value opportunities for them to scale their use of Legora.
  2. Working together with Customer Success in taking full ownership of client relationship - from running pilots in the early stages, to onboarding new users, and ultimately guiding full-firm adoption across major law firms and corporate legal departments.
  3. Be the voice of the user inside Legora - sharing insights that directly inform product development, roadmap priorities, and strategic direction.
  4. Delivering clear, confident product demos and training that bring the power of our platform to life.
  5. Documenting best practices, contribute to the development of scalable playbooks, and help shape how we grow this function globally.

Skills

Required

  • Background in law, with experience at a top-tier firm or in-house legal team.
  • Tech-curious and product-savvy.
  • Communicate clearly and confidently with diverse stakeholders, both lawyers and engineers.
  • Bring structure to ambiguity and energy to complexity.
  • Understand how to evaluate and improve existing processes as a direct result of new and emerging technologies.
  • Proactive, self-directed, and comfortable juggling multiple client relationships at once.

Nice to have

  • Not necessarily a coder, but passionate navigating technical conversations, especially around things like generative AI, technology implementation, innovation and productivity.

What the JD emphasized

  • AI-native workspace
  • AI will impact different practice areas
  • generative AI