• 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.