Modernizing FOIA: How AI is Reshaping the Essentials of eDiscovery​

​Federal agencies are facing a growing FOIA challenge: request volumes have surged dramatically over the past decade, while the requests themselves have become increasingly complex, often involving large volumes of electronic records, multiple custodians, and sensitive data sources. At the same time, many agencies are trying to meet statutory response deadlines with reduced staffing, and processes that still rely heavily on manual review and disconnected legacy systems. As agencies attempt to fulfill these requests and comply with the 20-day turnaround time required by law, the legacy technology and systems that form the backbone of eDiscovery in the federal government are showing their age. These challenges increase security and litigation risks, contribute to a growing backlog of requests, and undermine public trust in an open and transparent government.

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​Addressing these challenges and modernizing FOIA processes and eDiscovery systems relies on a foundation of next-generation technology, powered by artificial intelligence. In this episode of the Government Technology Insider Podcast, Victoria Cash, Product Director, Open Government Solutions, and Kelly Swank, Vice President of Business Development, from Casepoint joined host, Lucas Hunsicker, to explore developments in eDiscovery technology and imagine a more sustainable, integrated, and secure FOIA platform that will support federal agencies for years to come.

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