Legal Systems Architect

Overview

This role involves leading the design and evolution of the systems that power Legal. The Legal Systems Architect combines software engineering, system architecture, and legal domain expertise to shape how Legal leverages automation, data, and AI to operate more effectively at scale.

Work spans a complex technology landscape, including ELM, eDiscovery, CLM, and AI platforms. Responsibilities include defining and implementing solutions that connect systems, improve workflows, and enable more intelligent ways of working—both by deploying AI-driven solutions and by enabling Legal to develop, adopt, and scale their own AI-powered workflows.

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 strategic and creative approaches 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 by 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 a 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)

Compensation & Benefits

• Market-based pay with U.S. locations categorized into four zones based on a cost of labor index
• Starting pay determined based on job-related skills, experience, qualifications, work location, and market conditions; ranges may be modified in the future

Zone A: $171,800—$257,600 USD

Zone B: $159,400—$239,000 USD

Zone C: $153,900—$230,900 USD

Zone D: $145,400—$218,000 USD

Benefits may include:

• Remote work
• Medical insurance
• Flexible time off
• Retirement savings plans
• Modern family planning

Location

U.S. role. Pay zone depends on work location within the U.S. (Zone A/B/C/D).

Equal Opportunity and Accommodation

• Equal opportunity employer; evaluates applicants without regard to identity or any legally protected class
• Considers qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances
• Provides an inclusive interview experience and reasonable accommodations for disabled applicants throughout the recruitment process

Application Guidelines and Hiring Process

• No specific deadline to apply; U.S. roles are typically open for an average of 55 days before being filled
• Candidates may submit up to 9 active applications within a 60-day period
• Reapplications to the same role are accepted 90 days after a previous application has been reviewed
• Automated AI tools may be used to evaluate job applications for efficiency and consistency, with compliance to local regulations (including bias audits) and handling of personal data under applicable privacy laws