Jobs · Engineering · Massachusetts

Associate Director of Artificial Intelligence – Knowledge Transformation

Latham & Watkins · Boston, MA · 2 wk ago
HybridEngineering$300k/yrFull-time

About the role

The Associate Director of Artificial Intelligence – Knowledge Transformation is an integral part of Latham & Watkins’ Technology & Information Services team. This role will lead a team of expert knowledge professionals in transforming the firm’s transactional precedents, playbooks, and practice expertise into AI-ready assets. Key responsibilities include defining and implementing the firm’s knowledge transformation strategy, overseeing knowledge engineering standards, and integrating knowledge assets into AI-powered workflows.

Responsibilities

  • Define and implement the firm’s knowledge transformation strategy
  • Establish multi-year roadmaps for converting transactional precedents, contract templates, and practice playbooks into structured, AI-optimized knowledge repositories
  • Oversee the development and maintenance of structured knowledge repositories
  • Partner with Innovation Attorneys, Legal Engineering teams, Knowledge Management Lawyers, AI Services Attorneys, and other technology colleagues to ensure knowledge assets are effectively integrated into AI-powered workflows
  • Establish and monitor KPIs, quality metrics, and utilization measures for knowledge assets

Qualifications

  • Possess deep expertise in knowledge management, taxonomy development, and information architecture
  • Strong understanding of transactional legal practice, including M&A, finance, and capital markets workflows
  • Advanced knowledge engineering capabilities, including developing taxonomies, metadata schemas, tagging standards, knowledge repositories, and quality assurance frameworks for AI-powered legal tools
  • A bachelor’s degree, preferably in law, library science, information science, computer science, or a related field
  • A Juris Doctor (JD), preferably
  • A minimum of ten (10) years of experience in knowledge management, legal technology, or legal practice, with demonstrated experience in knowledge engineering, taxonomy development, or AI systems
  • Previous management experience required
  • Experience in transactional legal practice, preferably, with litigation practice experience also valued

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