Responsibilities & QualificationsOther key responsibilities include:Executing the firm's knowledge transformation strategy by converting transactional precedents, contract templates, and practice playbooks into structured, AI‑optimised knowledge resources in accordance with established roadmaps and prioritiesBuilding and maintaining structured knowledge repositories, including clause libraries, negotiation playbooks, market terms databases, brief banks, motion templates, litigation strategy guides, and practice‑specific guidance materials optimised for utilisation as AI contextWorking closely with Innovation Attorneys, Knowledge Management Lawyers, Legal Engineering teams, AI Services Attorneys, and technology colleagues to integrate knowledge assets into AI‑powered workflows for document drafting, due diligence, contract analysis, deal execution, legal research, brief drafting, and case strategy developmentEngaging with Innovation Attorneys, practice group lawyers, and stakeholders to identify high‑value precedents, capture evolving market practice, and ensure knowledge assets are aligned with real‑world practice needs and attorney expectationsStaying current with advances in knowledge graphs, semantic search, retrieval‑augmented generation, agentic AI, and legal AI applications, identifying opportunities for enhanced knowledge capture and optimisationProtecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that Latham & Watkins retainsWe'd love to hear from you if you:Possess working knowledge of knowledge management, taxonomy development, and information architecture, with the ability to structure complex legal content for effective AI consumption and retrievalDemonstrate a strong understanding of transactional legal practice, including M&A, finance, and capital markets workflows, with the ability to identify and curate high‑value precedents and practice knowledgeExhibit technical aptitude with AI systems and familiarity with concepts such as retrieval‑augmented generation, semantic search, knowledge graphs, vector databases, agentic AI systems, and context window optimisationAnd have:A bachelor's degree in a related field, preferably in law, library science, information science, computer science, or a related fieldA Juris Doctor (JD)A minimum of five (5) years of experience in legal practice, knowledge management, or legal technologyExperience with legal precedents, templates, or playbooks, preferablyExperience in transactional legal practice, preferably, with litigation experience also valuedBenefits & Additional InformationSuccessful candidates will not only be provided with an outstanding career opportunity and welcoming environment, but will also be provided with a generous total compensation package with bonuses awarded in recognition of both individual and firm performance. This role will be responsible for identifying, curating, structuring, and optimizing the firm's transactional precedents, playbooks, and accumulated practice expertise for use in AI‑powered systems, while curating and transforming the firm's institutional legal knowledge into AI‑ready assets, working under the direction of the Associate Director of Artificial Intelligence – Knowledge Transformation and applying AI tools to enhance productivity and quality of output.