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Remote - USA - Nationwide, United States of America
Remote only
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 collaborate effectively across departments, senior leadership, and global teams.
Strategic thinker with a passion for innovation and a results-driven mindset.
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