Extract from Sarena Regazzoni’s article “The Importance of Generative AI in eDiscovery”
The Importance of Generative AI in eDiscovery
In the rapidly evolving landscape of eDiscovery, legal teams face mounting challenges that threaten to overwhelm even the most seasoned professionals. With global economic uncertainties, ever-growing volumes of data, and the need to remain hyper-competitive, enterprises are pressured to do more with less. The stakes are high—failing to efficiently identify relevant information could result in missed deadlines, increased legal exposure, and hefty penalties for non-compliance. In this context, the ability to quickly and accurately assess vast datasets has never been more critical.
eDiscovery Challenges That Generative AI Can Address
Businesses today are grappling with two significant challenges: swiftly understanding data to inform strategy and decision-making and reducing the overwhelming volume of data that bogs down and inflates the costs of eDiscovery workflows. Early case assessment and document review, where timely insights are crucial, are particularly prone to these challenges.
For example, consider a scenario where a legal team must sift through millions of Slack and Teams messages to identify relevant information for a litigation case.
