AI-Driven Legal Engineer — Transactions

Cozen O'Connor

Philadelphia (Philadelphia County)

On-site

USD 140,000 - 210,000

Full time

2 days ago
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Job summary

Cozen O’Connor in the United States seeks a Legal Engineer - Transactional to lead the design, development, and maintenance of AI-enabled workflows for deal-diligence, agreement review, and closing-checklist automation. The role requires hands-on fluency with generative AI platforms and workflow tools, translating practice requirements into technical specs, and a commitment to governance and risk controls.

You will collaborate across practice groups and IT to deploy scalable solutions that

Qualifications

  • J.D. preferred but not required; equivalent substantive legal, deal‑support, knowledge‑management, or legal‑tech experience are encouraged.
  • 3–5 years of experience in transactional practice, legal technology, knowledge management, legal operations, or comparable professional‑services environment with hands‑on AI/build experience.
  • Hands‑on AI build experience—prompt engineering, AI workflow or agent development, and configuring legal AI platforms (Harvey, Legora, CoCounsel, Copilot, Kira, Luminance).

Responsibilities

  • Build and engineer AI-enabled transactional workflows across platforms.
  • Test, evaluate, and harden solutions with governance and quality controls.
  • Deploy, maintain, and scale production workflows with ongoing updates and guardrails.
  • Collaborate with Innovation Attorney (Transactional) and legal/engineering colleagues.
  • Stay current on generative AI, agentic workflows, and legal tech trends.

Skills

Prompt engineering
AI workflow development
Legal tech experience
RAG concepts

Education

J.D. preferred

Tools

Harvey
Legora
CoCounsel
Microsoft Copilot
Kira
Luminance

Job description

Cozen O’Connor in the United States seeks a Legal Engineer - Transactional to lead the design, development, and maintenance of AI-enabled workflows for deal-diligence, agreement review, and closing-checklist automation. The role requires hands-on fluency with generative AI platforms and workflow tools, translating practice requirements into technical specs, and a commitment to governance and risk controls.

You will collaborate across practice groups and IT to deploy scalable solutions that

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