Knowledge Transformation Attorney

Latham & Watkins

Knowledge Transformation Attorney at Latham & Watkins responsible for structuring legal knowledge for AI-powered systems. Collaborating with legal teams to enhance productivity through advanced technology initiatives across the firm.

Posted 6/27/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $220,000 - $250,000 per yearWebsite

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
A bachelor’s degree in a related field, preferably in law, library science, information science, computer science, or a related field
A Juris Doctor (JD)
A minimum of five (5) years of experience in legal practice, knowledge management, or legal technology
Experience with legal precedents, templates, or playbooks, preferably
Experience in transactional legal practice, preferably, with litigation experience also valued

Benefits

Comp & perks

Healthcare, life and disability insurance
A generous 401k plan
At least 11 paid holidays per year, and a PTO program that accrues 23 days during the first year of employment and grows with tenure
Well-being programs (e.g. mental health services, mindfulness and resiliency, medical resources, well-being events, and more)
Professional development programs
Employee discounts
Affinity groups, networks, and coalitions for lawyers and staff

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Knowledge ManagementTaxonomy DevelopmentInformation ArchitectureAI SystemsRetrieval-Augmented GenerationSemantic SearchKnowledge GraphsVector DatabasesContext Window OptimisationTransactional Legal Practice

Soft Skills

CollaborationCommunicationStakeholder EngagementAnalytical ThinkingProblem Solving

Certifications

Juris Doctor (JD)Bachelor's Degree in LawBachelor's Degree in Library ScienceBachelor's Degree in Information ScienceBachelor's Degree in Computer Science