Creative plaintiffs’ attorneys — and the litigation risks they generate — thrive where laws and regulations remain undeveloped and gray. After largely harvesting the field of ADA Title III website accessibility claims, many of these attorneys have shifted to a new category of website “gotcha” litigation: claims under California’s Invasion of Privacy Act (CIPA) based on the operation of cookies and pixels, increasingly coupled with a reemergence of ADA claims. In this session, Seyfarth’s ADA Title III accessibility and CIPA privacy specialists, joined by Shitel Chanana – Legal Counsel at Taskrabbit, will break down the current litigation landscape, emerging risks, and practical mitigation strategies.

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Fraud actors are increasingly using AI to generate synthetic business documents, fabricate corporate filings, deepfake UBO identities, and construct shell company networks at scale, overwhelming traditional KYB systems that rely on static checks and inconsistent global registries. This session explores the emerging AI-driven tactics used to bypass merchant verification and how AI-native verification infrastructure is responding, drawing on experience verifying businesses across 200+ countries and 500+ registries for platforms like Meta and Airwallex. Attendees will learn why manual review is no longer sufficient, how techniques like real-time registry cross-referencing, multi-signal entity resolution, and automated document authenticity analysis can close detection gaps, and what a scalable framework looks like for staying ahead of AI-powered fraud globally.

Fraud is evolving, not just in tactics, but in philosophy. As attackers become more agile and nuanced, so too must our defenses. This article explores a fast-emerging fraud typology where bad actors exploit overlooked transactional patterns—such as penny transactions, data breach-driven email compromise, account takeover (ATO), and chargeback loops—to evade detection and scale attacks. Drawing from real-world cases and strategic frameworks, it introduces a visual model that helps fraud teams identify early warning signals and coordinate cross-functional responses. The goal: elevate fraud prevention from reactive defense to proactive strategy.