Block
Legal Systems Engineer
Remote 30303 Foundational - Counsel - Legal role with clear candidate location fit.
PostedRecently added
Eligible countries27 accepted countries
Seniority signalOpen level
Work settingRemote
Accepted candidate locations
Role overview
Legal Systems Engineer
Requirements and responsibilities
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You Will
- 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
You Have
- 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)
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