Legal AI Engineer

Thomson Reuters•Eagan, MN

22h

About The Position

The Legal AI Engineer helps law firm customers transform legal work using Thomson Reuters Legal AI. The role combines legal-practice experience, product expertise, and practical AI knowledge to identify valuable legal workflows, design and test AI-enabled solutions, and support successful use cases through sustained adoption. The engineer works closely with Practice Innovation Advisors, Forward Deployed Engineers, Customer Success, Sales, Product, and other cross-functional partners to address complex customer needs, including solutions involving advanced configuration, integrations, and custom development. The role includes customer-facing discovery, demonstrations, workflow workshops, executive briefings, solution design, and technical collaboration. It also involves documenting reusable solution patterns and communicating customer needs and product opportunities to internal teams. Regular travel to customer and firm sites is required, approximately 25–30% depending on the quarter; candidates must be willing and able to travel as a condition of employment.

Requirements

J.D. from an accredited US law school.
Prior experience practicing law, such as in a law firm, in-house legal department, government, clerkship, or comparable legal practice setting.
Proven experience in customer- or client-facing roles, ideally engaging with enterprise or complex accounts.
Familiarity with legal workflows and processes such as due diligence, eDiscovery, large document review, or compliance, gained through direct practice, adjacent roles, or working with legal professionals.
Demonstrable experience with generative artificial intelligence applications.
Substantial experience using a variety of online legal research and practice tools, such as Westlaw, Practical Law, HighQ, Relativity, or Everlaw.
Demonstrated ability to learn and work hands-on with AI tools, workflow technologies, and technically complex solutions.
Willingness and ability to travel regularly to customer and firm sites as a condition of employment.

Nice To Haves

Experience with workflow automation, APIs, integrations, technical prototyping, data analysis, Python, or other exploratory coding.
Experience collaborating with software engineers, solution engineers, implementation teams, or other technical specialists.
Understanding of large language model (LLM) architecture and operation, with ability to apply that knowledge to the hands-on design, testing, and refinement of legal AI solutions.
Ability to translate ambiguous legal and business needs into structured requirements and testable solutions.
Experience communicating customer requirements, evaluating solution options, testing outputs, and documenting implementation considerations with engineering and technical delivery teams.
Experience or aptitude in workflow automation, system integrations, APIs, data structures, prompt and context design, technical prototyping, or exploratory coding.
Ability to frame Thomson Reuters solutions constructively, positively, and accurately.
Knowledge of due diligence, eDiscovery, management of large document sets, data rooms, and related workflows where AI can accelerate results.
Strong communication and documentation skills, including the ability to explain technical concepts, create learning materials, and deliver persuasive presentations to non-technical or skeptical customers.
Ability to work directly with motivated customers on complex problems, including in-person, on-site engagements.
Creativity, curiosity, a growth mindset, and ability to simplify ambiguous challenges and turn them into opportunities.
Up-to-date knowledge of emerging AI research and industry trends, with critical consideration of risks, opportunities, and societal impact.
Willingness to experiment, learn from setbacks, and iterate to improve outcomes.

Responsibilities

Lead in-person discovery sessions, solution demonstrations, workflow workshops, and executive briefings with law firm customers to identify priority workflows and demonstrate how Thomson Reuters Legal AI can address them.
Support customers throughout the lifecycle by scoping Legal AI use cases, advising on workflow and solution design, and demonstrating legal AI capabilities.
Work with Customer Success, Forward Deployed Engineering, and cross-functional partners to develop and execute Legal AI strategies for a focused portfolio of signature law firm customers.
Partner with Forward Deployed Engineering to translate complex legal workflows and customer requirements into solution designs, prototypes, integrations, or other technically enabled approaches.
Design, test, and refine advanced Legal AI workflows that may combine Thomson Reuters products, customer systems, partner technologies, integrations, or custom development.
Use knowledge of the legal technology ecosystem to determine whether customer needs are best addressed through Thomson Reuters products, partner solutions, integrations, or custom development, and help coordinate the approach.
Document solution patterns, technical requirements, implementation considerations, and lessons learned for reuse in future customer engagements.
Communicate customer needs to Customer Success and cross-functional Product, Engineering, and Marketing partners, and highlight opportunities to improve and innovate legal AI products.
Contribute to thought leadership by sharing expertise with customers and the broader market through events, advisory boards, or customer-facing content.
Advocate for Thomson Reuters products by understanding their strengths, areas for improvement, and roadmaps, and explaining how they can support customers’ client advocacy.
Travel regularly, approximately 25–30% depending on the quarter, to customer and firm sites for client engagements, demonstrations, and team initiatives.

Benefits

Flexible work arrangements, including work from anywhere for up to 8 weeks per year.
Flexible vacation and paid time off, including sick and safe time off and paid holidays.
Two company-wide Mental Health Days off annually.
Access to the Headspace app and Employee Assistance Program.
Retirement savings plan with company match.
Tuition reimbursement.
Employee incentive programs and possible annual bonus based on enterprise and individual performance.
Health, dental, vision, disability, and life insurance.
Parental leave and sabbatical leave.
Flexible Spending Accounts and Health Savings Accounts.
Fitness reimbursement.
Commuter benefits.
Adoption and surrogacy assistance.
Employee Stock Purchase Plan.
Two paid volunteer days off annually and opportunities to participate in pro-bono consulting projects and ESG initiatives.
Optional hospital, accident and sickness insurance, paid entirely by the employee.
Optional life and AD&D insurance, paid entirely by the employee.
Group Legal Identity Theft Protection benefit, paid entirely by the employee.
Access to a 529 Plan.
Resources for mental, physical, and financial wellbeing.