Podcast host, Charlie Uniman, and Jim cover the following in this episode:

• How Jim’s undergrad major in computer science and his graduation from law school took him from his first job as a lawyer doing document review to working for over a decade in e-discovery. 

• Eventually leaving e-discovery work to found his own company offering services outside the legal tech field, Jim nonetheless kept track of the immense benefits accruing to document review from the use of NLP and, eventually, GenAI solutions. 

• Jim realized how these GenAI-driven solutions could solve longstanding problems with less up-to-date e-discovery solutions. With this realization, Jim returned to the e-discovery field to start his own business, eDiscoveryAI (www.ediscoveryai.com), and bring the benefits of GenAI to e-discovery customers.

• Jim explains how GenAI-driven e-discovery tools advance e-discovery far beyond the levels of accuracy achievable from the predictive coding tooling previously used in e-discovery - all at a lower cost and with faster time-to-value.

• Jim explains how, by operating as a nimble startup with virtually no bureaucracy to get in the way, Jim and his colleagues at eDiscoveryAI can get closer to the customer and build customer-requested features more rapidly than his big-company competitors.