Pennsylvania (PA) Data Privacy CLE Course Catalog

In an era where compliance requirements and AI advancements shape the legal landscape, our session delves into the critical challenge of securing unstructured data. We explore strategies to harness AI effectively for legal processes while safeguarding client confidentiality. The presentation addresses the complexities of managing sensitive information amid evolving compliance norms and technological shifts. Participants will gain insights into implementing AI solutions that respect privacy and legal standards, ensuring that the legal sector's digital transformation aligns with ethical and professional responsibilities. Our focus extends to practical approaches and case studies, fostering a deep understanding of balancing innovation with information security in legal practice.

Join this session as our privacy experts discuss recent additions to the US privacy law patchwork, changes on the horizon, and strategies for navigating widely varying state privacy laws.

At least one-hundred and three countries have international data privacy laws, and the number of countries enacting laws continues to grow. Panelists will discuss how their organizations are navigating the growing number of laws, current enforcement trends, and how laws will continue to evolve.

Every industry is looking for ways to integrate generative AI into their workflows to support workers, automate mundane tasks, reduce costs, and the legal industry is no different. When it comes to implementing and adopting new technology though, there’s going to be heightened scrutiny and particularly from an ethics, bias and privacy standpoint. Join this session as we share insights on how firms can think about adoption of new technology like LLMs, from forming a task force to piloting products.

This session will pull back the curtain to the mysteries of Generative AI, with expert speakers answering some of the most complex questions regarding the impacts of AI on work and life. Panelists will also examine a possible new type of liability schema for regulators, and make predictions on the future of AI governance.