Litigators know eDiscovery can be one of the most unpredictable line items in a case budget. One unexpected dataset, increased custodian counts, complex forensic collections, or intractable opposing counsel, and the numbers start to climb – fast.

This fall I attended both Relativity Fest in Chicago, IL and the Everlaw Summit in San Francisco, CA. Like many of you, at Proteus, we’ve been discussing the topic of Generative AI, so it was no surprise that it was a central theme at these two industry conferences, as well. 

Litigators and eDiscovery practitioners often face a common document review challenge when preparing for litigation – too many documents (and too little time to get through them). Linear review, that is, reviewing every document individually, is the most appropriate option in certain situations, but can often be complemented by predictive coding. This is a defensible way to create massive time and cost savings, preserving budget for merits counsel, not for eDiscovery and document review partners