
Legal AI Engineer
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in Minnesota.
• Collaborate directly with law firm clients to identify high-value legal workflows.
• Facilitate in-person discovery sessions, solution demonstrations, workflow workshops, and executive briefings.
• Define Legal AI use cases and provide guidance on workflow and solution design.
• Showcase legal AI capabilities throughout the entire customer lifecycle.
• Formulate Legal AI adoption strategies in partnership with Customer Success Managers.
• Assist in the successful deployment of solutions and ensure the continued use of high-value use cases.
• Identify, test, and document best practices for implementing Thomson Reuters Legal AI.
• Develop reusable use cases, prompts, playbooks, and workflow patterns.
• Assess whether customer needs are best met through Thomson Reuters products, partner solutions, integrations, or custom development.
• Relay customer requirements to Customer Success, Product, Engineering, and Marketing teams.
• Contribute to the thought leadership in legal AI through events, advisory boards, and customer-facing content.
• Advocate for Thomson Reuters products and clarify their practical applications for clients.
• Travel to client and firm locations for engagements, demonstrations, and team initiatives.
• J.D. from an accredited U.S. law school is required.
• Prior experience in practicing law is mandatory.
• Proven track record in customer- or client-facing roles, particularly with Enterprise or complex accounts.
• Knowledge of legal workflows and processes such as due diligence, eDiscovery, large document review, compliance, or related fields.
• Demonstrable experience with generative artificial intelligence applications.
• Significant experience utilizing online legal research and practice tools, including Westlaw, Practical Law, HighQ, Relativity, and Everlaw.
• Tech-savvy with a strong willingness to learn new AI tools and platforms.
• Experience with basic programming (Python) and/or exploratory coding is advantageous but not essential.
• Understanding of large language model architecture and operation is preferred.
• Familiarity with due diligence, eDiscovery, large document sets, data rooms, and related workflows is desirable.
• Ability to explain technical concepts and produce clear documentation, learning materials, and compelling presentations.
• Willingness and capability to travel approximately 25–30% as a condition of employment.
• Flexible work arrangements, including the option to work from anywhere for up to 8 weeks each year.
• Grow My Way programming and skills-first career development opportunities.
• Flexible vacation policies.
• Two company-wide Mental Health Days off.
• Access to the Headspace app.
• Retirement savings options.
• Tuition reimbursement programs.
• Employee incentive programs.
• Resources for mental, physical, and financial wellbeing.
• Two paid volunteer days off each year.
• Pro-bono consulting and ESG initiatives.
• Comprehensive health, dental, vision, disability, and life insurance programs.
• Competitive 401(k) plan with company matching.
• Paid sick and safe time off.
• Paid holidays.
• Parental leave policies.
• Sabbatical leave options.
• Optional hospital, accident, and sickness insurance.
• Optional life and AD&D insurance.
• Flexible Spending and Health Savings Accounts available.
• Fitness reimbursement programs.
• Employee Assistance Program.
• Group Legal Identity Theft Protection benefit.
• 529 Plan options.
• Commuter benefits.
• Adoption and Surrogacy Assistance.
• Employee Stock Purchase Plan.
• Eligibility for an annual bonus based on enterprise and individual performance.
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