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Thomson Reuters

Legal, financial data, and media services

Legal Engineer, AI Adoption - AI Adoption

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Juris Doctor from an accredited U.S. law school is required.
  • Prior experience practicing law in a law firm, in-house legal department, government, clerkship, or comparable legal practice setting is required.
  • 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 online legal research and practice tools such as Westlaw, Practical Law, HighQ, Relativity, or Everlaw.
  • Aptitude for learning new AI tools and platforms; no formal technical or programming background is required.
  • Experience with basic programming in Python and/or exploratory coding for problem-solving is a plus but not required.
  • Understanding of the architecture and operation of large language models and comfort working hands-on with AI tools, without requiring a formal technical or engineering background.
  • Knowledge of due diligence, eDiscovery, managing large document sets, data rooms, and related workflows where AI can accelerate results.
  • Ability to communicate technical concepts, create clear documentation and learning materials, and craft persuasive presentations for non-technical and skeptical customers, focusing on customer needs and outcomes.
  • Ability to work directly with customers to solve complex problems, including through in-person, on-site engagements.
  • Creativity, curiosity, and a growth mindset, with the ability to simplify ambiguous challenges and turn them into opportunities.
  • Ability to stay current with emerging AI research and industry trends and think critically about risks, opportunities, and societal impact.
  • Willingness and ability to travel regularly, approximately 25–30% depending on the quarter, to customer and firm sites.

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 identifying and prioritizing Legal AI use cases, advising on workflow and solution design, demonstrating relevant capabilities, and helping successful use cases scale across teams and practice areas.
  • Partner with Customer Success Managers to develop and execute Legal AI adoption strategies for select law firm customers, emphasizing high-value users, expansion of successful workflows, and sustained product usage.
  • Discover, test, and document best practices for applying Thomson Reuters Legal AI across customer workflows, creating reusable use cases, prompts, playbooks, and workflow patterns.
  • Determine whether customer needs are best addressed through Thomson Reuters products, partner solutions, integrations, or custom development, and bring together the appropriate technical and business partners.
  • Communicate customer needs to Customer Success and cross-functional Product, Engineering, and Marketing partners, and highlight opportunities to improve and innovate legal AI products.
  • Contribute to thought leadership by sharing expertise with customers and the broader market through events, advisory boards, or customer-facing content.
  • Advocate for Thomson Reuters products by understanding their strengths, areas for improvement, and roadmaps, and explaining how they can be applied to support customer advocacy.

Desired Qualifications

  • Experience in customer-facing roles, ideally working with enterprise accounts.
  • Understanding of the architecture and operation of large language models and comfort working hands-on with AI tools, without requiring a formal technical or engineering background.
  • Ability to approach challenges constructively and frame Thomson Reuters solutions positively and accurately.
  • Knowledge of due diligence, eDiscovery, managing large document sets, data rooms, and related workflows where AI can accelerate results.
  • Ability to communicate technical concepts, create clear documentation and learning materials, and craft persuasive presentations for non-technical and skeptical customers, focusing on customer needs and outcomes.
  • Ability to work directly with customers to solve complex problems, including through in-person, on-site engagements.
  • Creativity, curiosity, and a growth mindset, with the ability to simplify ambiguous challenges and turn them into opportunities.
  • Ability to stay current with emerging AI research and industry trends and think critically about risks, opportunities, and societal impact.
  • Willingness to embrace innovation and experimentation, learn from setbacks, and iterate to improve outcomes.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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