Legal AI Engineer: Drive AI-Enabled Legal Workflows

Thomson Reuters Corp.; Eagan, Northern (MN, KY); Híbrido; USD 74 000 - 138 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work policy

Mental health days

Tuition reimbursement

Volunteer days

Resumo da oferta

Thomson Reuters Corp. is seeking a Legal AI Engineer to partner with law firms, identify high-value workflows, and demonstrate how Thomson Reuters Legal AI can address them. You will lead in-person sessions, build reusable use cases, prompts, and playbooks while collaborating with Success, Sales, and Product teams.

You will travel regularly (about 25-30%) to customer sites, contribute to thought leadership, and help scale solutions across practice areas using practical, real-world AI approaches.

Qualificações

• J.D. from an accredited US law school.
• Experience in practicing law in any setting (firm, in-house, government, clerkship).
• Demonstrable experience with generative AI applications and legal tech tools (Westlaw, Relativity, etc.).
• Strong communication and client-facing skills; travel required.

Responsabilidades

• Lead in-person discovery sessions, solution demonstrations, and executive briefings with law firm customers.
• Scope Legal AI use cases and advise on workflow and design; demonstrate capabilities.
• Develop adoption strategies with Customer Success; scale high-value use cases.
• Document best practices, create reusable use cases, prompts, and playbooks.
• Engage with Product, Engineering, and Marketing to relay customer needs and roadmaps.

Conhecimentos

Generative AI

Legal workflows

Customer-facing

Communication

Problem solving

Formação académica

J.D. from US law school

Ferramentas

Westlaw

Practical Law

Relativity

Everlaw

Descrição da oferta de emprego

Thomson Reuters Corp. is seeking a Legal AI Engineer to partner with law firms, identify high-value workflows, and demonstrate how Thomson Reuters Legal AI can address them. You will lead in-person sessions, build reusable use cases, prompts, and playbooks while collaborating with Success, Sales, and Product teams.

You will travel regularly (about 25-30%) to customer sites, contribute to thought leadership, and help scale solutions across practice areas using practical, real-world AI approaches.