Knowledge & Innovation Lawyer - Litigation

Pillsbury Winthrop Shaw Pittman•Nashville, DC

About The Position

The Litigation Knowledge & Innovation Lawyer is a senior litigator embedded with Pillsbury’s litigation Global Business Unit and is part of the AI & Knowledge Department. Reporting to the Director of Knowledge & Innovation for Litigation, this role makes practice know-how usable for lawyers and AI by turning final documents into structured matter profiles, identifying opportunities to improve litigation workflows, encouraging adoption of AI-enabled workflows, and developing and curating practical know-how. The lawyer curates and maintains knowledge resources, captures lessons from matter teams, and oversees matter-profile and practice-data processes that support reporting and operational insights. The role works with lawyers, Knowledge Analysts, practice leaders, matter teams, and technical teams to map and improve workflows, develop and evaluate litigation AI use cases, translate practice needs into technical requirements, and help roll out effective solutions. The position also supports AI adoption and training, serves as a subject matter resource on effective, ethical, and secure AI use in litigation, and monitors relevant trends and best practices. In collaboration with Data Science & AI Engineering, the lawyer builds gold-standard test sets for core litigation tasks and approves AI output quality at designated gates. The role also maintains guidance on AI use in court filings, including citation verification, court rules and orders, and client restrictions.

Requirements

J.D. from an ABA-accredited law school.
Active admission to at least one U.S. state bar in good standing.
At least 8 years of hands-on litigation experience at a large law firm or comparable practice, at partner, counsel, or senior-associate level.
Strong understanding of litigation workflows, including early case assessment, research, and drafting.
Strong judgment regarding legal authority, facts, procedural posture, court practice, privilege, and the practical limits of reusing work from another matter.
Ability to earn the trust of partners and associates, distill complex litigation work into concise guidance, and lead cross-functional work to completion.
Hands-on use of generative AI in litigation work and a clear understanding of its limits; ability to demonstrate workflows or evaluations built.

Nice To Haves

Prior experience in litigation knowledge management, professional support, attorney development, legal innovation, or practice operations.
Experience running a contained pilot or implementation of litigation technology or AI tools.
Experience supporting more than one litigation specialty and designing resources for different offices or courts.

Responsibilities

Curate, develop, and maintain knowledge-management assets, including precedent libraries, playbooks, expertise resources, matter insights, and practice-specific know-how and skills.
Capture lessons from matter teams and develop resources that reflect current practice.
Oversee the capture, organization, and use of matter-profile information and practice data to support reporting, dashboards, and operational insights for practice leadership.
Monitor use of practice know-how resources and technology, solicit attorney feedback, assess gaps in knowledge-sharing processes, and implement plans to address them.
Work with lawyers and Knowledge Analysts to map workflows, identify recurring challenges, and find opportunities to improve processes using data and AI.
Partner with practice leaders and matter teams to prioritize workflow changes and work with Data Science & AI Engineering to test and roll them out.
Evaluate workflow improvements against baselines using attorney feedback, testing, and appropriate quality and efficiency measures; refine promising approaches and help integrate them into practice.
Help design, build, test, and evaluate litigation use cases and workflows that leverage practice know-how and AI technologies.
Translate practice needs into clear requirements for technical teams, gather lawyer feedback, and help refine and adopt effective solutions.
Support adoption of AI tools, AI-enabled workflows, knowledge-sharing, and workflow improvement by providing content and examples to change programs and working with practice AI champions.
Partner with AI Applications, Talent Development, and Training teams to develop and deliver practical guidance and training on AI tools, workflows, knowledge resources, and appropriate use of approved tools.
Provide guidance and support on effective, ethical, and secure AI use within the Litigation practice.
Monitor trends, technologies, and best practices in litigation, knowledge management, legal AI, and professional services.
Build gold-standard test sets for core litigation tasks with Data Science & AI Engineering and sign off on AI output quality at designated approval gates.
Build and maintain guidance on AI in court filings, including citation verification, judges’ standing orders and local rules on AI use, and client restrictions in outside counsel guidelines.