AI Litigation

From algorithmic harm class actions and gaming addiction claims to web scraping and copyright disputes, our team combines deep industry insight with science-driven strategies to safeguard our clients’ business interests in the most complex AI litigation. As a recognized market leader in AI litigation, global companies across sectors turn to us to lead precedent-setting lawsuits, spanning antitrust, product liability, intellectual property, cybersecurity, and more.

Our litigators have a proven track record of success in first-of-their-kind cases across industries – including those involving AI and algorithms. We have played a key role in shaping the emerging legal framework that governs AI today. As one of the largest litigation practices globally, our multi-jurisdictional teams manage complex, cross-border disputes that often involve emerging issues of AI liability, bias, and data governance.

To provide our litigators with the scientific foundation needed to support or challenge claims in court, we leverage our in-house team of more than 100 data scientists, coders, and policymakers to audit AI systems to confirm legal and regulatory compliance. We integrate deep technical knowledge into every phase of litigation – from algorithmic bias and model training legality to causation and compliance.

This cross-functional team is fully embedded within our litigation practice, bridging the gap between technology and law, helping clients navigate evolving AI regulations, mitigate litigation risk, and implement robust governance and compliance frameworks. This integrated approach helps clients innovate confidently while minimizing exposure to litigation and regulatory scrutiny.

• Obtained dismissal as coordinating counsel in connection with a global outage caused by a defect found in a software update
• Defeated class certification in a “black box” algorithmic discrimination suit, making us the only firm, to our knowledge, to have decertified a putative algorithmic-harm class
• Defended novel “hallucination” suit against generative AI and argued motion to dismiss
• Defeated injunction request and obtained enforcement of arbitration clause over “hallucination” claims
• Obtained dismissal of two of three liability theories in multi-district litigation involving applications
• Served as national defense counsel for a commercial sector client involving regulatory and class action litigation arising from the use of sophisticated algorithms and predictive analytics
• Represented a healthcare AI company over an M&A transaction and related contractual breaches
• Represented a leading molecular data analytics company in multiple matters, including reimbursement disputes for innovative modalities
• Represented a national consumer products retailer in an investigation involving sales and customer data in an AI initiative
• Represented an AI technology startup in litigation with a former executive
• Represented multiple healthcare AI companies in intellectual property, data commercialization, and risk assessment matters
• Served as counsel for multiple healthcare information technology (IT) companies in crisis response and liability mitigation regarding their data
• Performing internal risk assessments and mitigations for AI programs at major leading pharmaceutical, medical device, and digital health companies
• Assisted biotech AI start-ups and spinouts from major universities in company formation, commercialization, FDA matters, and meetings with the Centers for Medicare & Medicaid Services (CMS), Center for Medicare and Medicaid Innovation (CMMI), Department of Health & Human Services (HHS), and other departments
• Assisting major pharmaceutical, medical device, and healthcare companies on policy issues involving ethical AI and emerging standards, codes of conduct, and best practices for trustworthy, safe, and reliable AI