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In an increasingly regulated business landscape, it is crucial for organizations to be prepared when regulators come knocking at their doors. Join our panel of seasoned experts as they share their knowledge and offer guidance on how to proactively prepare for regulator interactions and mitigate potential risks. From regulatory audits to investigations, this session will equip attendees with the tools and knowledge necessary to effectively handle regulatory scrutiny.

Privacy regulations are shifting frequently and GCs need to stay current with the emerging laws to avoid legal and financial ramifications. With various jurisdictions creating their own data privacy regulations and the complexities continuously growing, the landscape of data privacy will continue to evolve making it even more essential for in-house teams to be prepared and build a robust privacy program. Join this session as our privacy experts review existing privacy laws, and share their insights into navigating the upcoming risks and changes expected in the privacy space.

In this program, experienced class action lawyers Jennifer A. Riley (Duane Morris LLP) and Gregory P. Abrams (Faegre Drinker Biddle & Reath LLP) will delve into an in-depth analysis of the current trends and recent court rulings involving the Biometric Information Privacy Act (BIPA). The speakers will also provide the audience with practical strategies for bringing out the best in these lawsuits in a rapidly evolving legal climate.

In this program, leading antitrust thought leaders Ralph E. Labaton (Haug Partners) and Hagai Doron (S. Horowitz & Co.) will provide an in-depth discussion of the latest and significant issues surrounding antitrust class certification. Speakers will also provide practical strategies in handling complex antitrust class claims.

Class actions remain at the forefront of in-house counsel’s concerns and top legal spend. In this program, highly recognized practitioners in class action litigation Joseph A. Apatov (McGlinchey Stafford PLLC) and Bethany G. Lukitsch (BakerHostetler) will discuss the significant and latest issues surrounding consumer class actions. Speakers will also provide the audience with practical strategies to mitigate class action risks.

The U.S. Department of Labor (DOL) Wage and Hour Division and the National Labor Relations Board (NLRB) are continuously taking initiatives to improve each agency’s law enforcement, specifically against employee misclassification. Guided by their standards, the DOL and the NLRB aggressively enforces the Fair Labor Standards Act (FLSA) and the National Labor Relations Act (NLRA) respectively to expand the scope of classifying joint employers while narrowing the scope of categorizing independent contractors. Join a panel of key thought leaders and distinguished professionals as they provide a comprehensive discussion of the latest enforcement trends in classifying employees. Speakers, among other things, will offer practical compliance strategies in this rapidly evolving regulatory landscape.

The flexible work arrangement has become a norm in the post-pandemic time, presenting hurdles among company decision-makers when it comes to employee classification. Misclassifying an employee as an independent contractor can pose legal risks to employers including liability claims related to employment taxes, interest, and penalties. Join a panel of key thought leaders and professionals as they provide a comprehensive discussion of the existing regulations, emerging developments, and notable cases involving independent contractor misclassification. Speakers will also offer practical tips and compliance strategies to mitigate potential risks in this evolving legal landscape.

Conversations around generative artificial intelligence are dominating the social stratosphere. By simulating human cognitive thinking, generative AI can produce new types of text, imagery, audio, and synthetic data by using patterns and informational elements obtained from prior works. Because generative AI often relies on pools of data and third-party creations to create new content, there is a concern that generative AI may, whether intentionally or inadvertently, exploit copyright-protected content to develop purportedly original content. Organizations that leverage generative AI tools should be mindful of how the tools are used in a commercial context to mitigate the risk of infringing uses. Likewise, owners of intellectual property should be aware of how their works are used by generative AI models and the users of these tools, and timely action should be taken to defend intellectual property against infringement.