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LexisNexis Legal & Professional

Legal, government, and business intelligence platform

Legal Engineer - Corporate Legal

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have a JD and at least 3 years of experience in one or more of the following: in-house counsel experience within a Fortune 1000 or similarly complex enterprise organization; legal transformation, legal operations, legal technology, or enterprise consulting experience supporting Fortune 500/1000 legal departments; or attorney experience within a leading Alternative Legal Services Provider (ALSP), with substantial experience practicing law for and advising Fortune 1000 or similarly complex corporate legal departments and their legal leadership teams.
  • Have a strong understanding of corporate legal department operations, priorities, stakeholder engagement, and business partner relationships.
  • Have strong AI fluency, including hands-on experience using generative AI tools and a practical understanding of legal AI use cases within corporate legal departments.
  • Have the requisite knowledge to lead discussions on AI opportunities, limitations, governance considerations, and adoption challenges with legal professionals and business stakeholders.
  • Have experience engaging with General Counsel, Chief Legal Officers, Legal Operations leaders, and other senior legal and business stakeholders.
  • Be willing and able to travel at least 50% of the time to support business and client needs.

Responsibilities

  • Engage corporate legal departments to understand their workflows, operational priorities, and strategic objectives, and create tailored LexisNexis AI solutions that enhance processes, improve outcomes, and increase productivity and return on investment.
  • Lead tailored demonstrations, training sessions, executive briefings, and workshops to drive adoption and utilization of LexisNexis AI solutions and ecosystem offerings.
  • Advise legal leaders on AI adoption, governance considerations, legal operations modernization, and workflow transformation opportunities.
  • Identify opportunities to expand LexisNexis' AI footprint within existing clients and prospective customers in partnership with Client Managers and Strategic Business Development teams.
  • Collect client feedback on LexisNexis solutions, including enhancement opportunities, AI use cases, and emerging market needs, and relay those insights as actionable recommendations to product and development teams.

Desired Qualifications

  • Prior in-house counsel experience within a Fortune 1000 or similarly complex enterprise organization.
  • Experience leading legal transformation, legal operations modernization, AI adoption, process optimization, or legal technology implementation initiatives.
  • Experience with legal operations, workflow automation, contract lifecycle management, legal knowledge management, or enterprise legal technology platforms.
  • Experience supporting enterprise-scale change management and technology adoption programs.

About the Company

LexisNexis Legal & Professional

Legal, government, and business intelligence platform

LexisNexis Legal & Professional provides legal, government, business, and high-tech information through subscription-based access to a vast repository of licensed news publications and corporate data. Its offerings, such as Nexis AI, enable advanced research, intelligence gathering, and automatic document summarization for professionals in law firms, corporations, government agencies, and academic institutions. The platform works by delivering curated information and insights from millions of companies and publications via a search and analysis interface, helping users find accurate information quickly. The company differentiates itself with a long history of service, a broad, licensed data library across multiple sectors, and AI-powered tools that streamline research and decision-making. Its goal is to help clients make informed decisions, achieve a competitive advantage, and boost efficiency by providing trusted information and tailored analytics.

Company size
5,001-10,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$30M
Headquarters
New York City, New York
Founded
1973

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