Extract from Hanzo’s article “Chat eDiscovery, Reimagined: Why Gen AI is the Smarter Way to Handle Chat Data”
Imagine searching for a crucial conversation in a sea of endless chat messages—messages filled with greetings, status updates, and casual banter. The reality of modern enterprise communication is an overwhelming flood of fragmented, highly unstructured data. Compliance teams, legal departments, and security professionals are challenged to sift through this digital noise to find what truly matters. Traditional eDiscovery tools attempt to tackle this challenge but often fall short, applying AI to entire 24-hour chat transcripts without distinguishing between valuable discussions and meaningless chatter.
This approach results in massive amounts of unnecessary data processing, increased review time, and skyrocketing costs. Gen AI offers a smarter alternative—analyzing and refining conversations in real time to cut through the noise, highlight key discussions, and significantly reduce eDiscovery expenses.
Drowning in digital chatter: the rising challenge of managing chat data
