Director of Enterprise AI & Automation Solutions

Crowell & Moring LLP is an international law firm with offices in the United States, Europe, MENA, and Asia that represents clients in litigation and arbitration, regulatory and policy, intellectual property, and transactional and corporate matters. The firm is internationally recognized for representing Fortune 500 companies in high-stakes litigation and government-facing matters, as well as its ongoing commitment to pro bono service and diversity, equity, and inclusion. At Crowell & Moring, exceptional client service begins with exceptional people. We are committed to delivering responsive, high-quality, and professional service to our clients and to one another, while continuously elevating standards of excellence across every aspect of our work.

Job Summary The Director of Enterprise AI & Automation Solutions is a strategic, execution-focused leader responsible for advancing the organization’s AI capabilities across the business of law. This role defines and executes the enterprise AI strategy, identifies high-value business use cases, establishes governance and responsible AI practices, and partners across functions to scale solutions that deliver measurable business impact. The position requires deep expertise in AI, machine learning, data platforms, and enterprise architecture, paired with strong business acumen, stakeholder leadership, and program delivery experience. The Director manages a team and works closely with business functional leaders, professional staff, attorneys, paralegals, the Innovation department, and firm leadership to strategically integrate AI and automation technologies that improve operational efficiency. The ideal candidate is an experienced legal technology professional with broad expertise in AI and automation, law firm project management, and leadership of strategic technology initiatives.

Job Responsibilities

• Define and lead the company’s enterprise AI vision, roadmap, and operating model aligned to business strategy, including the design, piloting and implementation plan.
• Identify, prioritize, and evaluate AI and automation use cases across functions such as operations, finance, HR and marketing.
• Drive adoption of AI-enabled workflows and ensure solutions deliver measurable outcomes.
• Build a multi-year AI transformation plan that balances innovation, risk management, and value realization.
• Stay current on AI, generative AI, automation, and emerging technologies to inform enterprise adoption decisions.
• Oversee vendor evaluation and management for AI platforms, tools, and strategic partnerships.
• Partner with Legal, Compliance, Risk, Information Governance and Information Security to establish enterprise-wide AI governance, including model lifecycle management, oversight, controls, ethical standards and policy development.
• Develop responsible AI principles and guardrails for fairness, transparency, explainability, and human oversight.
• Serve as a trusted advisor to executive leadership on AI and workplace efficiency opportunities, risks, investments, and strategic priorities.
• Collaborate with business leaders to define success metrics, business cases, and implementation plans for AI and workplace efficiency initiatives.
• Lead and mentor a high-performing team of AI, data, and technology professionals.
• Build organizational AI fluency through training, communication, and change management initiatives.
• Define KPIs and success metrics for AI programs, including efficiency gains, cost savings, revenue impact, risk reduction, and user adoption.
• Monitor performance of deployed AI solutions and continuously optimize for business value and model effectiveness.
• Create executive-level reporting on enterprise AI and workplace efficiency portfolio performance, roadmap progress, and ROI.
• Develop the budget and financial forecast for the AI and productivity toolset.
• Build relationships with members of the Professional Staff Leadership group to support alignment of their strategic objectives and efficiency initiatives supporting their groups.
• Lead the Enterprise AI and Productivity Solutions team to deliver innovative solutions tied to real-world challenges, using human-centered design methods to design and implement solutions including ideation workshops, user interviews, journey mapping, process mapping, and rapid prototyping.
• Oversee the Enterprise AI & Productivity Solutions third-party vendor relationships, in collaboration with the re…