Legal AI Engineer

Thomson Reuters is hiring a Legal AI Engineer to help law firm customers identify high-value legal workflows and design, test, and adopt AI-enabled solutions. The role works with customers and cross-functional teams to translate complex legal needs into practical workflows, integrations, or custom solutions.

Responsibilities:

• 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

Requirements:

• 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
• Bring experience in customer-facing roles, ideally working with Enterprise accounts
• Understand the architecture and operation of large language models (LLMs) and can apply that understanding to the hands-on design, testing, and refinement of legal AI solutions
• Are comfortable working at the intersection of legal practice and technology, translating ambiguous legal and business needs into structured requirements and testable solutions
• Can collaborate effectively with engineering and technical delivery teams, including communicating customer requirements, evaluating solution options, testing outputs, and documenting implementation considerations
• Bring experience or demonstrated aptitude in one or more technically oriented areas, such as workflow automation, system integrations, APIs, data structures, prompt and context design, technical prototyping, or exploratory coding
• Approach challenges constructively, framing Thomson Reuters solutions positively and accurately
• Are knowledgeable in due diligence, eDiscovery, managing large document sets, data rooms, and related workflows where AI can accelerate results
• Excel at communicating technical concepts and creating clear, high-quality documentation and learning materials, and can craft persuasive presentations that resonate with non-technical and often skeptical customers by focusing on their needs and outcomes rather than just product features
• Bring creativity, curiosity, and a growth mindset to problem-solving, with the ability to simplify ambiguous challenges and turn them into opportunities
• Stay up-to-date with emerging AI research and industry trends, and think critically about risks, opportunities, and societal impact
• Embrace innovation and experimentation—you view setbacks as opportunities to learn, iterate, and improve outcomes