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SquareSquareSan Francisco, CA

Legal Systems Engineer

Lead design and evolution of legal systems architecture, combining software engineering with legal domain expertise to build AI-driven automation, integrations, and scalable workflows across ELM, CLM, and eDiscovery platforms.

143k – 258k/yr
On-site7+ YOELegal

About the role

Responsibilities

  • Define and evolve the architecture of legal systems, ensuring they are scalable, cohesive, and adaptable over time
  • Identify and drive high-impact opportunities to improve legal workflows through automation, integration, and AI
  • Apply a strategic and creative approach to solving complex legal and operational challenges
  • Lead the design and implementation of solutions leveraging AI (Claude, Harvey, internal LLM platforms)
  • 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
  • Build and oversee integrations across DocuSign CLM, Brightflag, Tonkean, and AODocs and other Legal tools
  • Develop APIs, automations, and data pipelines to connect systems and reduce manual effort
  • Leverage Databricks/Snowflake and internal data platforms for analytics and AI workflows
  • Provide technical leadership for eDiscovery and Information Governance workflows
  • Operate as a hands-on technical lead, building and guiding long-term evolution
  • Influence how Legal approaches technology with balance of innovation and risk
  • Adapt to evolving priorities while maintaining long-term system design

Requirements

  • 7–10+ years in software engineering, systems engineering, or architecture roles
  • Strong programming skills (Python, JavaScript, or similar)
  • Experience integrating SaaS platforms and APIs
  • Hands-on AI tools experience (Claude, Codex, Copilot, etc.)
  • Ability to operate autonomously in ambiguous environments
  • 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)

Skills

PythonJavaScriptAPI IntegrationsClaudeHarveyDatabricksSnowflakeElmEdiscoveryDocusign Clm

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