Knowledge Transformation Attorney

About the role

The Knowledge Transformation Attorney is an integral part of Latham & Watkins’ Technology & Information Services team. 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.

Responsibilities

• 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 priorities
• Building 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 context
• Working 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 development
• Engaging 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 expectations
• Staying current with advances in knowledge graphs, semantic search, retrieval-augmented generation, agentic AI, and legal AI applications, identifying opportunities for enhanced knowledge capture and optimisation
• Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that Latham & Watkins retains

Qualifications

• Possess working knowledge of knowledge management, taxonomy development, and information architecture, with the ability to structure complex legal content for effective AI consumption and retrieval
• Demonstrate 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 knowledge
• Exhibit 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 optimisation