Knowledge Transformation Attorney

About the role

The Knowledge Transformation Attorney is an integral part of Latham’s 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.

This role will be located in either our New York, Boston, Washington D.C., Los Angeles, or Bay Area offices. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence.

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