Director of Case Law AI-Driven Content

The Opportunity

• The Director of Case Law AI-Driven Content is responsible for defining and leading the editorial and subject matter expert teams responsible for delivering AI-enabled case law content initiatives that support LexisNexis’s evolving research and AI product strategy. The Director of Case Law AI-Driven Content will lead AI content initiatives across multiple case law content streams and multiple regions, partnering closely with Product, Technology, Data Science, and Editorial stakeholders to ensure AI-generated and AI-enhanced content is accurate, trusted, and production-ready. This role reports to the Global Head of Cases and Chief of Staff for Global Editorial Operations.
• This role is the innovation-focused counterpart to the Director of Performance and Operations, which owns business-as-usual delivery, SLAs, and operational stability. While Performance and Operations focuses on maintaining and optimizing existing workflows, this role is focused on designing, piloting, and scaling new AI-driven case law content capabilities.

Core Responsibilities

• Lead the teams that execute on the strategy for AI-generated and AI-enhanced case law content, aligned to product priorities and customer needs.
• Develop and maintain roadmaps for AI case law initiatives, from proof-of-concept through production deployment.
• Identify and prioritize opportunities for AI across the case law lifecycle, including collection, conversion, enrichment, summarization, classification, linking, and update workflows.
• Partner with Product and Technology teams to ensure AI content capabilities support Lexis+ AI and related research experiences.
• Provide direction and oversight for AI-driven case law content initiatives across assigned jurisdictions and content streams.
• Ensure AI-generated content meets LexisNexis standards for legal accuracy, editorial quality, consistency, and trust.
• Define and apply governance frameworks for AI content, including human-in-the-loop review, version control, auditability, and risk mitigation.
• Work closely with the Director of Performance and Operations to transition mature AI solutions into BAU workflows when appropriate.
• Engage and present to senior leaders regularly to confirm strategic alignment, surface risks, and celebrate wins.
• Support the development of AI skills and editorial best practices across content teams in partnership with regional and functional leaders.
• Promote responsible AI adoption, experimentation, and continuous improvement within editorial workflows.
• Act as the primary editorial point of contact for AI-related case law initiatives with Product Management, Engineering, Data Science, and UX teams.
• Translate editorial and legal requirements into clear AI content specifications, evaluation criteria, and success measures.
• Define and track success metrics for AI-driven case law content, including quality, coverage, content freshness, and scalability.
• Establish feedback loops to improve AI output using editorial review, customer signals, and downstream usage data.
• Stay informed on industry developments, regulatory considerations, and emerging best practices related to AI in legal publishing.

Qualifications & Experience

• Bachelor’s degree required. Studies in legal or JD preferred.
• 8+ years’ experience in legal content, legal workflows, publishing, product, or editorial roles with 5+ years of people management experience.
• Experience leading AI-enabled or automation-driven content initiatives.
• Strong understanding of case law content, legal research workflows, and editorial standards.
• Demonstrated ability to lead cross-functional initiatives in a matrixed organization.
• Working knowledge of AI technologies, including LLMs, NLP, and human-in-the-loop workflows.
• Strong written and verbal communication skills, including experience presenting to leadership and stakeholders.
• Ability to work effectively across time zones as needed

Skills & Competencies

• Strong understanding of AI technologies, including natural language processing (NLP), and machine learning. Previous experience improving LLMs, AI tools, or similar technologies; experience writing effective prompts and designing evaluative techniques
• Highly proficient in data analysis and performance metrics, with the ability to report insights and progress to stakeholders. Must have advanced Excel and PowerPoint skills.
• Exceptional communication skills, with the ability to…