Milbank is seeking an Associate Director, Legal AI Solutions to translate legal and business needs into practical AI solutions. Reporting to the Head of AI, Knowledge & Innovation, this role will partner with attorneys and business services teams to understand processes and use cases, develop solutions, and drive tangible progress toward the firm’s AI goals. This position will also support the firm’s strategy by monitoring trends in the legal AI market, considering new technologies and planning for future developments.

Responsibilities

Partner with practice and business services groups to identify high-impact use cases, define clear requirements, and help keep solutions aligned with user needs through delivery.

Collaborate with IT and Knowledge Attorneys to shape AI solutions and design advanced workflows that address legal practice and business services needs across the firm, promoting reuse across practices.

Design and build solutions in existing firm-approved AI platforms

Track and measure value delivered through usage, time-savings, and return-on-investment analysis.

Build and maintain relationships with AI suppliers, legal technology companies, and industry networks, to understand available capabilities, provide product feedback, and inform the roadmap.

Monitor legal AI developments across law firms, corporate legal departments, suppliers, and research communities.

Identify developments that merit closer review, arrange demonstrations, coordinate technology evaluations with relevant stakeholders, and document evaluation decisions and actionable recommendations.

Prepare periodic briefings and reports for firm leadership.

Equip attorneys and business services employees with accurate information for client conversations about AI and support client-facing AI communications.

All other responsibilities as needed.

Compensation: The anticipated base salary range offered for this role will be between $215,000 to $255,000 and represents the firm’s 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 candidate’s relevant experience, performance, qualifications, degrees, and location, well as the needs of the firm.

Qualifications

Bachelor’s degree required. J.D., law-firm experience and having a technical background is a plus.

Five or more years of experience in legal technology, legal innovation, or a comparable role. Experience in technology strategy, market research, product management, or a related field is a plus.

Strong understanding of large language models, generative AI capabilities, and current developments in legal technology.

Deep familiarity with legal workflows, generative AI, large language models, machine learning, and the ability to identify practical AI opportunities.

Proficiency or familiarity with Microsoft Office, SharePoint and Copilot, Harvey AI, Legora, frontier models from OpenAI, Anthropic, Google, Meta, and open-weight models, Document Management Systems (DMS) including iManage and NetDocuments, 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.

Product mindset with the ability to scope, prioritize, and deliver projects.

Excellent written and verbal communication skills across technical and nontechnical audiences.

Ability to evaluate rapidly changing developments and organize findings into actionable recommendations.

Intellectual curiosity and sustained interest in technology trends.