Legal AI Engineer

Job Description As a Legal AI Engineer , you will help law firm customers transform how legal work gets done with Thomson Reuters Legal AI. Combining legal-practice experience, product expertise, and a practical understanding of AI, you will identify high-value legal workflows, design and test AI-enabled solutions, and help customers move successful use cases into sustained adoption. You will work closely with Practice Innovation Advisors, Forward Deployed Engineers, and other cross-functional partners to address complex customer needs and explore solutions involving advanced configuration, integrations, and custom development.

Key Responsibilities In the role of Legal AI Engineer , you will collaborate closely with Customer Success, Sales, and Product teams to:

• Lead in-person discovery sessions, solution demonstrations, workflow workshops, and executive briefings with law firm customers to identify priority legal workflows and show 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 other cross-functional partners to develop and execute Legal AI strategies for a focused portfolio of signature law firm customers.
• Partner closely 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, including solutions that may combine Thomson Reuters products, customer systems, partner technologies, integrations, or custom development.
• Apply a strong understanding of the legal technology ecosystem to determine when customer needs are best addressed through Thomson Reuters products, a partner solution, an integration, or custom development, and help orchestrate the right approach.
• Document solution patterns, technical requirements, implementation considerations, and lessons learned so that successful approaches can be reused across future customer engagements.
• Support customer advocacy by communicating customer needs to Customer Success and our cross-functional partners in Product, Engineering, and Marketing, and highlighting opportunities to improve and innovate our legal AI products.
• Contribute to Thomson Reuters’ thought leadership by sharing expertise with customers and the broader market through events, advisory boards, or customer-facing content.
• Be an effective advocate for Thomson Reuters products. Understand their strengths, areas for improvement, and roadmaps, and be able to explain on multiple levels how they can be specifically applied to take customers’ client advocacy to new heights.
• Travel: This role requires regular travel (approximately 25-30%, varying by quarter) to customer and firm sites to support client engagements, demonstrations, and team initiatives. Candidates must be willing and able to travel as a condition of employment.

Required Qualifications You are a fit for the role of Legal AI Engineer if you have the following required qualifications:

• J.D. from an accredited US law school required.
• Prior experience practicing law required (e.g., 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, compliance, or related domains — 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 (e.g. Westlaw, Practical Law, HighQ, Relativity, Everlaw, etc.).
• Demonstrated ability to learn and work hands-on with AI tools, workflow technologies, and technically complex solutions.
• Experience with workflow automation, APIs, integrations, technical prototyping, data analysis, Python, or another form of exploratory coding is strongly preferred.
• Experience collaborating with software engineers, solution engineers, implementation teams, or other technical specialists is preferred.

*Preferred Qualifications…