Remote Knowledge & Research Legal Engineer (AI)

RELX INC

Trenton (NJ)

Remote

USD 110,000 - 165,000

Full time

9 days ago

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Job summary

LexisNexis Legal & Professional seeks a Knowledge & Research Legal Engineer to build trusted relationships with librarians and information professionals within large law firms, guiding adoption of AI-powered legal research and workflow solutions. You will work with customer-facing teams to implement, drive engagement, and provide strategic guidance on responsible AI use in legal environments.

The role emphasizes implementing AI capabilities, supporting rollout, training users, and addressing

Qualifications

  • Must have a JD and MLS and at least 3–6 months of recent librarian experience in a large law firm.
  • Hands-on experience implementing AI solutions and advising on governance of AI in legal settings.

Responsibilities

  • Build relationships with librarians, information professionals, and innovation leaders in large law firms.
  • Identify opportunities to adopt LexisNexis AI and workflow solutions and tailor use cases to each firm.
  • Lead demonstrations, training, workshops, and executive briefings for librarians and attorneys.
  • Advise on AI capabilities, limitations, and responsible use in legal research workflows.
  • Collaborate with account teams to develop engagement plans and drive growth of LexisNexis solutions.
  • Gather feedback to inform product improvements and participate in industry events.

Skills

Librarian experience
AI fluency
Presentation skills
Collaboration across teams
Travel willingness

Education

Juris Doctorate
MLS

Job description

LexisNexis Legal & Professional seeks a Knowledge & Research Legal Engineer to build trusted relationships with librarians and information professionals within large law firms, guiding adoption of AI-powered legal research and workflow solutions. You will work with customer-facing teams to implement, drive engagement, and provide strategic guidance on responsible AI use in legal environments.

The role emphasizes implementing AI capabilities, supporting rollout, training users, and addressing

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