E-Discovery Day: AI in Discovery - The Old and the New

In this session, we will embark on a comprehensive exploration of the history of Artificial Intelligence (AI) and its transformative applications within the field of electronic discovery (eDiscovery). We will begin by tracing the origins and evolution of AI, highlighting the milestones that have shaped its development and its integration into modern workflows.

We will then delve into the inner workings of AI, shedding light on how it functions behind the scenes. This includes an examination of the fundamental principles and algorithms that drive AI systems, as well as a comparison of various AI models. By analyzing what these models have in common and where they differ, we aim to provide a clearer understanding of how to select and tailor AI tools to meet specific eDiscovery needs.

As we navigate the advancements in AI, we will also address the evolving risks associated with its use. This includes concerns over data privacy, bias in AI algorithms, and the potential for errors in decision-making. We will discuss how these risks have changed over time and present actionable strategies to mitigate them, ensuring the ethical and effective deployment of AI in eDiscovery processes.

By the end of this session, participants will gain not only a deeper appreciation for the history and capabilities of AI but also practical insights into leveraging its power responsibly to enhance eDiscovery workflows.