Legal Systems Engineer

Block Block · Fintech · NY · Remote · 30303 Foundational - Counsel - Legal

This role focuses on designing, building, and deploying AI-driven solutions within the Legal domain, enabling legal teams to leverage AI effectively and at scale. It involves system architecture, automation, integration, and ensuring AI solutions are scalable, reliable, and safe.

What you'd actually do

  1. Define and evolve the architecture of legal systems, ensuring they are scalable, cohesive, and adaptable over time
  2. Identify and drive high-impact opportunities to improve legal workflows through automation, integration, and AI
  3. Lead the design and implementation of solutions leveraging AI (Claude, Harvey, internal LLM platforms)
  4. Translate legal team experimentation into scalable, reliable, and production-ready solutions, establishing patterns, best practices, and guardrails that allow Legal to safely and effectively leverage AI.
  5. Build and oversee integrations across DocuSign CLM, Brightflag, Tonkean, and AODocs and other Legal tools

Skills

Required

  • software engineering
  • systems engineering
  • architecture roles
  • Python
  • JavaScript
  • integrating SaaS platforms and APIs
  • Hands-on AI tools experience (Claude, Codex, Copilot, etc.)
  • Deep ELM/eBilling experience (Brightflag preferred)
  • Strong eDiscovery experience (EDRM lifecycle)
  • Understanding of legal workflows (contracts, billing, discovery)
  • Experience with data platforms (e.g., Databricks, Snowflake)

Nice to have

  • legal domain expertise

What the JD emphasized

  • core focus of this role is to design, build, and deploy AI-driven solutions
  • enabling all of the Legal to develop, adopt, and scale their own AI-powered workflows
  • high degree of ownership, technical expertise, and adaptability
  • proactively identify strategic opportunities
  • develop solutions that align immediate needs with the long-term architectural vision
  • guardrails that allow Legal to safely and effectively leverage AI

Other signals

  • design and deploy AI-driven solutions
  • enabling all of the Legal to develop, adopt, and scale their own AI-powered workflows
  • Translate legal team experimentation into scalable, reliable, and production-ready solutions