Legal AI Engineer

Job Description As a Legal AI Engineer focused on helping law firms adopt generative AI, you will partner directly with customers to uncover their highest-value legal workflows and show how Thomson Reuters Legal AI can address them. You’ll lead in-person discovery sessions, solution demonstrations, and executive briefings, and you’ll turn what you learn into reusable use cases, prompts, and playbooks that scale across practice areas. This is a high-impact role that sits at the intersection of customer strategy, hands-on AI experimentation, and thought leadership. As the go-to voice for legal AI in customer conversations, you’ll bring clarity and practical solutions to every engagement, helping firms decide when a Thomson Reuters product, a partner tool, or a custom approach is the right fit.

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.
• Partner with Customer Success Managers to develop Legal AI adoption strategies, support successful solution deployment, and move high-value use cases into sustained use across practice areas.
• Discover, test, and document best practices for applying Thomson Reuters Legal AI across customer workflows, creating reusable use cases, prompts, playbooks, and workflow patterns that can scale.
• 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.
• 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.).
• Tech-savvy with a strong aptitude for learning new AI tools and platforms; no formal technical or programming background is required.
• Experience with basic programming (Python) and/or exploratory coding for problem-solving is a plus but not required.

Preferred Qualifications

• Bring experience in customer-facing roles, ideally working with Enterprise accounts.
• Understand the architecture and operation of large language models (LLMs) and are comfortable working hands-on with AI tools, even without a formal technical or engineering background.
• Approach challenges constructively, framing Thomson Reuters solutions positively and accurately.
• Are knowledgeab…