Recently, the Everlaw Summit, the annual customer conference of the e-discovery company Everlaw, convened in San Francisco. In his keynote address there, cofounder and CEO AJ Shankar announced the general availability, after a year of beta testing, of a suite of generative AI features for reviewing, coding and analyzing documents in discovery and litigation prep. I was […]
Recently, the Everlaw Summit, the annual customer conference of the e-discovery company Everlaw, convened in San Francisco. In his keynote address there, cofounder and CEO AJ Shankar announced the general availability, after a year of beta testing, of a suite of generative AI features for reviewing, coding and analyzing documents in discovery and litigation prep.
I was at the conference, and the next morning, I sat down with Shankar for this conversation about Everlaw’s development of these AI tools and Shankar’s views on how gen AI will impact legal professionals. As you’ll hear him say, he makes no bones about calling it a game changer.
With a doctorate in computer science from the University of California, Berkeley, Shankar founded Everlaw in 2011 as one of the earliest cloud-based e-discovery platforms. He has been on this podcast twice before:
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In April 2019, where he discussed the company’s founding and early development.
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In November 2021, just after Everlaw became one of the first legal tech companies to achieve unicorn status, or a valuation of over $1 billion.
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