Legal AI Architect

A premier, global law firm seeks an Architect to design, build, and maintain AI-enabled workflows and tools. The role operates across three lanes: embedded with practice groups on AI module development, building centralized tools and workflows, and personally getting hands-on with solutions.

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Responsibilities

• Own intake and triage for assigned requests; identify patterns suitable for productization or large-scale training
• Design, build, and validate AI workflows, prompts, templates, and specifications.
• Embed with practice groups and matter teams to understand legal workflows and identify high-value AI opportunities
• Validate AI tool outputs against precedents and edge cases; document limitations, QC checks, and known failure modes
• Conduct usage and cost analytics; translate findings into recommendations for prioritization and investment
• Review developer output and translate between technical and legal stakeholders
• Perform additional responsibilities as required by management

Qualifications

• 4+ years of experience across legal practice, legal operations, legal technology, product management, or professional services
• Ability to read and understand code at a functional level — not required to write production code, but must be comfortable reviewing developer output and understanding what it does
• Strong writing and communication skills; able to engage independently with attorneys at all levels of seniority, including partners
• Deep understanding of — or demonstrated ability to rapidly learn — how legal work flows at a large law firm (deal lifecycle, diligence, document xhyhwjd production, negotiations)
• AI tool fluency with a verification-first mindset: validates and stress-tests outputs, not just generates them
• Quantitative comfort: usage analytics, adoption metrics, ROI framing, cost tracking
• Client-service orientation; manages multiple workstreams under tight timelines with minimal oversight
• Bachelor's degree required; relevant advanced degree (J.D., M.Sc. in Computer Science, M.Sc. in Applied Mathematics, or similar) preferred but not required if professional experience demonstrates equivalent depth