Legal Engineer
Posted 3 Sep 2026
Advertised as “Legal Engineer-Transactional”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3–5 yrs
- Management level
- Individual contributor
- Employment
- Hybrid
No salary listed for this role.
The Legal Engineer – Transactional is the builder on that team. Where our Innovation Attorney (Transactional) partners with Business Law practice groups to diagnose workflows and decide what to solve, the Legal Engineer owns how those solutions get built, tested, and maintained. The role turns diligence, drafting, and deal-support use cases into reliable, governed, and reusable AI-enabled workflows—designing prompts, agents, and retrieval pipelines; building evaluation sets and quality controls; and standing up production-ready solutions that hold up to the demands of transactional practice.
This is an opportunity for a builder who understands how deal work actually happens and wants to engineer the AI-enabled version of it. The ideal candidate pairs hands-on fluency with generative AI platforms and workflow tools with enough transactional understanding to know what “good” looks like, where AI is appropriate, and where human oversight is non-negotiable.
Responsibilities
Build and engineer AI-enabled transactional workflows
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Design, build, test, and deploy AI workflows, agents, and skills across the firm’s approved AI platforms, supporting transactional use cases such as diligence review, first-pass agreement review, playbook-driven redlining, clause extraction, deal-term summarization, and closing-checklist automation.
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Develop and maintain prompt libraries, retrieval pipelines, clause banks, document templates, and reusable workflow components with clear, attorney-ready documentation.
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Translate practice requirements—gathered directly or in partnership with the Innovation Attorney (Transactional)—into technical specifications, workflow logic, and structured solutions.
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Where appropriate, use low-code tools, automations, and integrations to extend firm-approved platforms (e.g., Harvey, Legora, CoCounsel, Copilot, or contract-review platforms) and connect AI workflows to firm systems.
Test, evaluate, and harden solutions
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Build and run evaluation frameworks to measure workflow quality, accuracy, completeness, and reliability against representative deals, exemplar work product, and lawyer-defined quality standards.
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Embed human-review checkpoints, guardrails, and audit mechanisms aligned with firm governance, confidentiality, and professional-responsibility requirements.
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Document testing protocols, outcomes, and lessons learned; identify, log, and escalate risks and failure modes as appropriate.
Deploy, maintain, and scale
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Support the rollout of workflows into daily deal practice, partnering with the Innovation Attorney (Transactional) and adoption resources on launch training and early support.