Thomson Reuters
Legal Engineer, AI Adoption
$100K–$186K
United States of America, Eagan, Minnesota +1 · Remote · Full-time · Posted Oct 26, 2026
- Location
- United States of America, Eagan, Minnesota
United States of America, New York, New York - Experience
- Prior legal practice experience required; no number of years specified.
- Education
- J.D. from an accredited US law school required.
About the job
Helps law firms identify, design, test, and scale AI-enabled legal workflows using Thomson Reuters Legal AI, supporting customer adoption and product feedback.
What you'll do
- Lead customer discovery, demonstrations, workflow workshops, and executive briefings; identify priority workflows and appropriate solutions.
- Advise on Legal AI use cases and adoption strategies, and develop reusable prompts, playbooks, and workflow patterns.
- Coordinate with Customer Success, Sales, Product, Engineering, and partners; share customer needs and contribute to thought leadership.
What they ask for
- J.D. from an accredited US law school.
- Prior experience practicing law in a law firm, in-house legal department, government, clerkship, or comparable setting.
- Experience in customer- or client-facing roles; familiarity with legal workflows and demonstrable experience with generative AI applications.
- Substantial experience using online legal research and practice tools; willing and able to travel approximately 25–30%.
Nice to have
- Basic programming (Python) and/or exploratory coding for problem-solving.
- Experience with Enterprise or complex accounts and hands-on understanding of large language models (LLMs).
Pay
$100,100 USD - $185,900 USD (base compensation range); eligible for an Annual Bonus (amount not stated).
Tools
Thomson Reuters Legal AI, Westlaw, Practical Law, HighQ, Relativity, Everlaw, Python, LLMs
AI focus
Identify and apply generative AI to legal workflows; design and test AI-enabled solutions, support adoption and scaling, and create reusable prompts and workflow practices.
Model-written summary · the original posting is authoritative