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Legal Tech StartUp Focus Podcast


Welcome to the Legal Tech StartUp Focus podcast from your podcast host, Charlie Uniman. 

On this podcast, I'll be interviewing the people who build, invest in, comment on and use the apps made by LegalTech startups.

My guests and I will be discussing many different startup-related topics, covering, among other things, startup management and startup life, startup investing, pricing and revenue models and the factors that affect how users decide to purchase legal tech.

We’re not going to focus on legal tech per se - instead, we’ll be focusing on the startups that develop, market and sell that tech.

So, whether you’re a startup founder or investor, a lawyer or other legal professional or a law professor, law student or commentator who thinks about legal tech startups — sit back, listen and learn from my guests about just what it takes for legal tech startups to succeed.

And if you’re interested in legal tech startups and enjoyed this podcast, please become a member of Legal Tech StartUp Focus, free online that I mentioned at the outset of this introduction, by signing up at www.legaltechstartupfocus.com.

Jul 8, 2024

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.