Legal Engineer

Legora Legora · Vertical AI · San Francisco, CA · Growth

This role is for a Legal Engineer at Legora, an AI-native legal workspace company. The role involves acting as a thought partner to clients, managing client relationships, providing product demos and training, and gathering user insights to inform product development. The ideal candidate has a background in law, is tech-curious, and can translate between legal and technical stakeholders. The role focuses on helping clients leverage the company's AI platform for legal work.

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
  • tech-curious
  • product-savvy
  • passionate navigating technical conversations
  • communicating clearly and confidently with diverse stakeholders
  • translating across disciplines
  • structure to ambiguity
  • energy to complexity
  • calm, credible presence
  • evaluate and improve existing processes
  • proactive
  • self-directed
  • juggling multiple client relationships
  • care deeply about quality

Nice to have

  • experience at a top-tier law firm
  • worked in a corporate legal team
  • tried disrupting the status-quo through a legal tech company
  • ventures of your own

What the JD emphasized

  • AI-native workspace
  • evaluating the ROI and impact of AI
  • mapping how AI will impact different practice areas