Associate Director, Legal AI Enablement & Support

Milbank is seeking an Associate Director, Legal AI Enablement & Support to help the firm use AI effectively by developing a detailed understanding of internal usage, needs, and drivers and barriers to adoption. Reporting to the Head of AI, Knowledge & Innovation, this role will gather and analyze information across practices and business services teams and translate insights into practical enablement strategies.

• Monitor AI usage to understand which tools are being used, for what purposes, and how usage aligns with firm priorities.
• Identify gaps and friction points involving awareness, access, usability, performance, and missing capabilities.
• Collaborate with technology teams on usage tracking and analytics and translate data into actionable insights.
• Partner with Professional Development and IT on training and support needs.
• Assist in ensuring compliance with responsible AI guidelines.
• Build relationships across practices and business services teams to understand day-to-day AI use.
• Identify promising internal use cases that may support broader solutions or communications.

Compensation: The anticipated base salary range offered for this role will be between $200,000 to $235,000 and represents the firms good faith and reasonable estimate of the range of possible base compensation. Actual base compensation will be dependent upon several factors, including but not limited to the candidates relevant experience, performance, qualifications, degrees, and location, well as the needs of the firm.

• Bachelors degree required. J.D., law-firm and/or professional-services experience is a plus.
• Five or more years of experience in legal operations, professional development, legal technology, training, business intelligence, or a related field.
• Strong analytical skills and the ability to translate information from multiple sources into actionable insight.
• Strong written and verbal communication skills with the ability to explain complex AI tools and technologies and use cases to drive adoption across the firm.
• Familiarity with AI tools and their practical applications in legal practice.
• Proficiency with Microsoft Office, SharePoint, Document Management Systems (DMS) including iManage and NetDocuments. Familiarity with Microsoft Copilot, Harvey AI, frontier models from OpenAI, Anthropic, Google, Meta, and open-weight models, document comparison tools (e.g., Litera Compare), database systems including CMS, Knowledge Management, and Matter Experience platforms, AI consumption-based cost models, and other relevant technologies.
• Excellent understanding of the Legal Technology and Legal AI market space.
• Strong relationship-building skills and sound judgment when discussing usage, compliance, and adoption barriers.