Legal Systems Engineer

Block

1d•Remote

About The Position

As a Legal Systems Engineer, you will lead the design and evolution of the systems that power Legal, combining software engineering, system architecture, and legal domain expertise. This role is responsible for shaping how Legal leverages automation, data, and AI to operate more effectively at scale. You will work across a complex technology landscape — including ELM, eDiscovery, CLM, and AI platforms — to define and implement solutions that connect systems, improve workflows, and enable more intelligent ways of working. A core focus of this role is to design, build, and deploy AI-driven solutions, while also enabling all of the Legal to develop, adopt, and scale their own AI-powered workflows. This position requires a high degree of ownership, technical expertise, and adaptability. The ideal candidate must proactively identify strategic opportunities, and develop solutions that align immediate needs with the long-term architectural vision.

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)

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