Manager, AI Practice Transformation

Cozen O’Connor is seeking a Manager, AI Practice Transformation to help the Firm move beyond AI pilots and tool training toward practical, repeatable AI-enabled workflows. This role will support the design, testing, documentation, and rollout of AI workflows across legal practice groups and selected business functions. Working closely with the Strategy & Innovation team, IT, Knowledge Management, practice group leaders, and business professionals, the Manager will help identify use cases, translate them into structured workflows, build supporting materials, and drive adoption. The ideal candidate is a hands-on operator with strong process, product, and communication skills. This person should be comfortable working with lawyers and business teams to understand how work gets done, where AI may help, what risks need to be managed, and how to turn experimentation into usable workflows. This is not a pure training or tool-support role - it sits at the intersection of legal practice, product thinking, and change management. The successful candidate will help build the practical bridge between AI capabilities and real legal/business work. Workflow Design and Use-Case Support Work with lawyers, practice groups, and business teams to identify AI use cases that could improve efficiency, quality, consistency, or client service. Help document current-state workflows, including key tasks, handoffs, inputs, outputs, pain points, and quality-control steps. Assist in designing future-state workflows that incorporate approved AI tools, human review, templates, prompts, checklists, and source materials. Translate broad AI ideas into practical workflows that can be tested, documented, and repeated. Help prioritize use cases based on business value, feasibility, user readiness, risk, and scalability. AI Workflow Materials and Prompt Development Build and refine prompts, prompt chains, workflow guides, playbooks, checklists, intake forms, and training materials. Help determine which approved AI tools are best suited for particular tasks, such as summarization, drafting, research support, document comparison, classification, or analysis. Support testing of AI outputs for accuracy, completeness, source-grounding, usability, and consistency. Develop practical human-review steps and quality-control protocols for AI-assisted workflows. Pilot Support and Implementation Support AI pilots from intake through design, testing, rollout, feedback collection, and iteration. Coordinate with stakeholders to gather requirements, schedule pilot activities, track progress, and document lessons learned. Help define pilot success criteria, usage expectations, sample workflows, and output-quality benchmarks. Convert successful pilots into reusable templates, playbooks, training modules, and adoption plans. Track adoption barriers and recommend practical improvements to workflows, training, communications, or tool configuration. Adoption and Training Provide hands-on coaching to lawyers and business professionals on effective and responsible use of AI tools. Design and execute rollout plans for new platform capabilities, including training programs, quick-reference guides, and practice group-specific use case libraries. Deliver practical training focused on real work scenarios rather than generic tool features. Help users understand how to structure requests, evaluate outputs, preserve confidentiality, and apply appropriate human judgment. Support practice-specific AI sessions, office hours, demonstrations, and workflow workshops. Collect feedback from users and help translate it into improved workflows and support materials. Build and maintain a community of internal AI champions and power users across the firm. Support internal communications around AI initiatives — including leadership messaging, tool launches, and firmwide updates — to build awareness, set expectations, and reinforce responsible-use norms. Establish and track adoption metrics — including active user rates, feature utilization, and attorney satisfaction scores — and report results to Firm leadership. Cross-Functional Collaboration Work with IT on tool capabilities, access, integrations, technical constraints, and implementation needs. Collaborate with Knowledge Management, Research, Library, and other teams to identify source materials, templates, taxonomies, and knowledge assets that support AI workflows. Help maintain the firm’s library of AI prompts, playbooks, and workflow guides so that content stays accurate, consistent, and current as tools and practices evolve. Coordinate with Risk, General Counsel, Information Security, and practice leadership to ensure AI use aligns with Firm policies, client obligations, and professional responsibilities. Support vendor evaluations by testing tools against real Firm use cases and documenting findings. Support responses to AI-related client inquiries, RFPs, security questionnaires, and outside counsel guidelines by supplying accurate descriptions of approved tools, workflows, and human-review and confidentiality safeguards, in coordination with Marketing & Business Development, Information Security, and Risk. Serve as a practical connector between lawyers, business teams, technologists, KM professionals, and Firm leadership. Required 4+ years of experience in legal innovation, legal operations, consulting, product management, process improvement, knowledge management, legal technology, AI adoption, or professional-services transformation. Practical familiarity with generative AI tools and their use in knowledge-work settings. Strong ability to document, analyze, and improve workflows. Excellent written communication skills, including the ability to create clear prompts, playbooks, checklists, training materials, and project summaries. Strong organizational and project-management skills. Ability to work effectively with lawyers, business professionals, technologists, and other stakeholders. Good judgment regarding confidentiality, quality control, professional responsibility, and appropriate human review. Comfort operating in a fast-changing environment where tools, practices, and expectations are evolving quickly. Preferred Experience in a law firm, legal department, professional-services firm, consulting firm, or legal technology company. Familiarity with legal AI tools, Microsoft Copilot, document management systems, knowledge management platforms, or legal research tools. Working knowledge of prompt engineering, retrieval-augmented generation (RAG), model output evaluation, and enterprise AI platforms such as Copilot, Harvey, or CoCounsel. Experience supporting pilots, technology rollouts, workflow redesign, training, or adoption initiatives. Exposure to legal workflows such as litigation, due diligence, contract review, legal research, client alerts, pitch/RFP work, matter management, or knowledge reuse. Product management, design thinking, Lean/Six Sigma, process improvement, or management consulting experience. Change management experience driving adoption of new tools, workflows, or ways of working in a professional-services or knowledge-work environment. JD, MBA, MLIS, legal operations certification, project-management certification, or similar credential helpful but not required.