Job Description
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.
Primary Location Base Pay Range: Home based-Colorado $118,300 - $219,800. U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.Base Pay Range for CO is $118,300 - $219,800. Base Pay Range for IL is $124,200 - $230,800. Base Pay Range for Chicago, IL is $130,200 - $241,800. Base Pay Range for MD is $124,200 - $230,800. Base Pay Range for NY is $130,200 - $241,800. Base Pay Range for New York City is $142,000 - $263,800. Base Pay Range for Rochester, NY is $118,300 - $219,800. Base Pay Range for OH is $112,400 - $208,800. Base Pay Range for NJ is $149,765- $239,235.This job is eligible for an annual incentive bonus.Application deadline is 08/25/2026.We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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