Director, Attorney AI Learning & Strategy

Essential Functions and Responsibilities: 

• Lead development and implementation of the firm’s attorney AI learning strategy 

• Assess current attorney AI training efforts and develop recommendations regarding learning architecture, credentialing, cadence, workshop design, and training modalities 

• Serve as the day-to-day cross-functional lead across Talent & Development, Knowledge Management, IT, practice group leaders, and other stakeholders on attorney AI learning initiatives, including identifying legal workflows, use cases, and case studies that should inform attorney AI learning 

• Partner with Talent leadership to integrate attorney AI learning with the broader attorney lifecycle, including onboarding, skills development, supervision, advancement, and practice-group programming 

• Continuously evaluate and update attorney AI learning strategy, curricula, and content to ensure they remain relevant, practical, and innovative 

• Recommend and operationalize a visible, credible approach to attorney credentialing and recognition in the AI learning space 

• Help shape an approach that protects foundational lawyer skill development while encouraging thoughtful adoption of new tools and workflows 

• Develop a practical framework for tracking participation, completion, credentialing, and other relevant program indicators 

• Prepare updates and recommendations for Talent leadership and other firm leaders regarding program progress, gaps, and next-step priorities 

• Leverage technology platforms and analytics to deliver, track, assess, and adjust the learning strategy over time 

• Monitor developments in legal AI tools, legal technology, and related market trends and translate them into timely updates to attorney learning content and guidance 

• Participate in learning and development, legal innovation, knowledge management, and AI-related organizations and conferences to stay abreast of emerging tools, learning methods, and market trends 

Job Specifications: 

• Bachelor’s degree 

• Juris Doctorate (JD)  

• Meaningful experience practicing law at a law firm, in-house legal department or comparable legal setting 

• Hands-on familiarity with both general-purpose AI tools and legal AI platforms commonly used in law firm environments, including tools such as Microsoft Copilot, ChatGPT Enterprise, Claude, Harvey, CoCounsel, Legora and comparable practice-specific or internally developed tools 

• Experience in attorney development, professional development, lawyer training, legal education, knowledge management, practice innovation or a related field 

• Experience with designing large-scale change management strategies 

• Experience evaluating how AI tools are used in legal workflows, including drafting, summarization, research support, document review, issue spotting, chronology building, diligence and other practice-specific applications, and translating that understanding into lawyer-facing training 

• Experience identifying and addressing the learning, supervision, risk and change-management issues that arise when introducing AI into legal practice 

• Familiarity with attorney professional responsibility rules governing AI and emerging jurisdictional guidance 

• Demonstrated ability to translate technical concepts and evolving AI capabilities into practical lawyer-facing learning 

• Experience designing firmwide or practice-specific lawyer-facing curricula, workshops or skills-based programs preferred 

• Experience building or scaling new programs in an ambiguous or evolving environment preferred 

• Familiarity with attorney supervision, professional responsibility and development of junior lawyer skills in a changing practice environment preferred 

• Strong executive presence and interpersonal skills; ability to work effectively with partners, practice leaders and senior business professionals  

• Ability to work independently, exercise sound judgment, and drive complex work forward with limited supervision 

• Ability to work in cross-functional and virtual teams 

• Strong organizational skills; ability to work under tight deadlines and prioritize responsibilities 

• Ability to handle and maintain confidential information  

• Ability to travel for work 

• Knowledge of Microsoft Office Suite (Excel, Outlook, PowerPoint and Word) 

• Excellent written and verbal communication skills 

Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses.
     Target Hiring Range $211,000 - $301,000
Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWE provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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