Artificial Intelligence

McGuireWoods’ AI practice advises organizations on the legal, regulatory, and operational risks associated with AI and algorithmic technologies. Our multidisciplinary team works with clients across the full AI lifecycle, from governance and deployment to regulatory scrutiny and litigation, combining deep regulatory insight with extensive experience managing high-stakes investigations, enforcement actions, and complex disputes.

Our lawyers bring together experience in government investigations and enforcement, antitrust, data privacy and security, healthcare regulation, financial services, labor and employment, and complex litigation. We counsel clients on legal and compliance challenges arising from the use of AI, machine learning, and algorithmic decision-making systems, including regulatory inquiries, enforcement actions, class action litigation, and internal investigations. Our team closely monitors evolving enforcement trends involving AI, including regulatory actions related to algorithmic bias, deceptive AI marketing, data governance, and competition concerns involving AI systems.

That breadth of experience is especially critical in highly regulated industries, where organizations face heightened AI risk. Across financial services and fintech, healthcare and life sciences, higher education, commodities trading, energy, and defense contracting, we help clients assess and mitigate risks related to AI governance, vendor oversight, data use, algorithmic bias, and emerging enforcement priorities — delivering practical strategies that minimize exposure while preserving operational agility.

By integrating regulatory insight, litigation experience, and operational understanding of AI systems, McGuireWoods provides strategic guidance that enables organizations to navigate legal uncertainty and stay ahead of regulatory and enforcement developments.

How We Help

McGuireWoods’ AI practice provides the following services:

AI Governance & Compliance Frameworks: Designing and strengthening AI governance and compliance frameworks, drawing on guidance from federal and state regulators and enforcement authorities, as well as global AI regulatory frameworks.

Regulatory Inquiries & Enforcement Defense: Counseling clients facing regulatory inquiries, enforcement actions, and internal investigations arising from the use of AI, machine learning, and algorithmic decision-making systems.

Class Action & Complex Litigation: Defending clients in class action litigation and other complex disputes involving AI and algorithmic technologies.

AI Vendor & Partnership Diligence: Evaluating AI vendors and partners on data ownership, confidentiality, permissible use of company data, and contractual risk allocation.

Internal Counseling: Advising legal departments, executives, and HR departments on navigating AI regulations, ethical issues, and acceptable use policies.

AI Contracts & Transactional Work: Drafting terms and conditions for vendors and clients related to the use of AI platforms, protection of confidential information, and ownership of inputs and outputs.

Intellectual Property & Trade Secrets: Prosecuting and defending multi-jurisdictional trade secret disputes related to AI technology and managing global trademark and brand protection strategies for AI and payment technology companies.

Fintech & Financial Services AI Compliance: Advising fintech companies and financial institutions developing AI solutions on compliance with applicable regulatory requirements.

Employment & Hiring AI Governance: Advising employers and talent acquisition firms on the development, implementation, and governance of AI policies to ensure legally compliant use of AI in candidate sourcing, screening, and decision-making.

AI Training & Compliance Programs: Delivering responsible AI use training, confidential information protocols, and regulatory compliance guidance for employees and leadership.

AI Disclosure & Communications Review: Reviewing investor presentations, earnings calls, and marketing materials for securities litigation and regulatory risk related to AI claims.

Representative Experience

  • Represented multiple higher-education institutions, including large public universities and private colleges, in advisory matters concerning the development and implementation of AI governance policies, compliance frameworks, and risk mitigation strategies addressing data privacy, bias, transparency, and internal controls related to the use of AI by faculty, staff, and students.
  • Represented healthcare entities navigating AI regulations, including the development and implementation of responsible AI use policies for patient care, diagnostics, and administrative operations, and conducting vendor diligence on AI tools addressing HIPAA, PHI, and data-sharing risks.
  • Advised a commodities trading firm on developing an AI governance and compliance policy for trading operations and business functions.
  • Represented a private investment firm and its defense and aerospace-focused fund in connection with a minority investment in an innovative developer of advanced AI and machine learning software.
  • Drafted terms and conditions for vendors and clients related to the use of AI platforms, protection of confidential information, and ownership of inputs and outputs.
  • Prosecuted a multi-jurisdictional trade secret dispute related to AI technology for a global cybersecurity company.
  • Advised a fintech startup developing bank-grade AI solutions to help financial institutions optimize compliance and efficiency with FINRA Rule 4530 complaint reporting requirements.
  • Advised a recruitment and talent acquisition firm on the development, implementation, and governance of an AI policy to ensure legally compliant use of AI in candidate sourcing, screening, and decision-making processes.
  • Represented a leading cybersecurity company in high-stakes litigation exceeding $1.5 billion in damages. After the client acquired a next-generation AI-based cybersecurity firm, a competitor aggressively poached key employees who took confidential trade secret data. We filed multiple actions against the former employees and their new employer for trade secret misappropriation, breach of contract, fiduciary breach, and related claims.
  • Serve as worldwide trademark counsel to a leading supplier of payment software and AI technologies, managing the company’s trademark protection strategy, conducting preclearance and risk assessment of new brands, and coordinating all foreign counsel.
  • Advise a major energy company on the regulatory and contractual implications of federal executive orders for large-scale AI data center projects, grid reliability obligations, and permitting strategy.

McGuireWoods’ Artificial Intelligence practice provides integrated, multidisciplinary counsel across the full AI lifecycle — from governance and responsible deployment to regulatory scrutiny, enforcement defense, and complex litigation — enabling clients to deploy AI confidently and responsibly while safeguarding enterprise value.