Director of Applied AI

Covington’s Applied AI function exists to leverage advanced technology to positively impact the organization, the business, and client service delivery. The Applied AI team is responsible for designing, building, and deploying AI-enabled workflows, automation, and matter-support tools across the firm’s legal practice areas. The Director of Applied AI will report to the Senior Director of AI to lead day-to-day delivery of the firm’s applied AI roadmap, supervising practice-aligned Applied AI Managers across Corporate, Litigation, Regulatory, and White Collar. The Director will partner closely with the Director of Knowledge Management (KM) and Practice Technology to ensure that AI workflows and the underlying knowledge content advance in lockstep and will work directly with practice group leadership to identify, prioritize, and scale high-impact use cases that strengthen matter execution, attorney leverage, and client service delivery.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Primary duties and responsibilities necessary for successful job performance include:

• Lead and develop the Applied AI Manager team across Corporate, Litigation, Regulatory, and White-Collar practice areas, establishing clear delivery expectations and a high-performance, learning-oriented culture.
• Define and maintain firm-wide applied AI delivery standards, including reusable workflow patterns, prompt and agent design conventions, evaluation methods, and quality controls that ensure consistent, defensible AI-enabled work product across practices.
• Partner with practice group leadership to identify, prioritize, and sequence AI use cases that improve matter execution, attorney leverage, and client service delivery, ensuring the highest-impact opportunities receive concentrated team focus.
• Oversee the design, build, and deployment of AI-enabled tools spanning document review, drafting, diligence, discovery, regulatory monitoring, investigations support, and related legal workflows, scaling proven solutions from one practice area to others wherever feasible.
• Drive firm-wide adoption of applied AI through training, demos, office hours, internal communications, and sustained enablement, partnering with practice group leadership, Learning & Development, and Communications to bring lawyers and business professionals along the learning curve.
• Establish and report on adoption, performance, and value metrics for the firm’s applied AI portfolio, surfacing actionable insights to the Senior Director of AI, CIO, and firm leadership.
• Partner with the Director of KM and Practice Technology to ensure AI workflows are grounded in high-quality, AI-ready knowledge content, taxonomies, and practice-area data sources.
• Coordinate with Information Security, Risk, and the Office of General Counsel on the responsible deployment of AI tools, including data handling, privilege protection, vendor due diligence, and AI governance.
• Evaluate and manage external AI vendors and platforms, advising on build-versus-buy decisions and ensuring tools selected meet the firm’s quality, security, and integration requirements.
• Stay actively informed of developments in legal AI, large language models, agentic systems, and adjacent technologies, and proactively bring forward new opportunities, pilots, and pattern improvements.
• Serve as a credible point of contact for partners, practice group leaders, and clients on the firm’s applied AI capabilities, communicating in terms that resonate with legal and business audiences.

KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

• Minimum of 8 years of transferable professional experience, with a meaningful portion in applied AI, machine learning, or legal technology delivery within a law firm, professional services organization, or comparable environment, including demonstrated experience leading teams and interfacing with senior leadership.
• Track record of shipping AI-enabled tools or workflows into production with measurable adoption and impact; experience with LLM-based applications, retrieval-augmented generation, evaluation methods, and modern AI tooling strongly preferred.
• Working understanding of legal workflows across transactional, litigation, regulatory, and investigations matters sufficient to converse credibly with practice group leadership and translate legal requirements into technical solutions.
• Demonstrated initiative and bias for action, with the willingness to own outcomes through to delivery and the …