A recent podcast involved a discussion of common AI misconceptions in the legal industry and how to address them with some great tips for legal professionals out there.
The podcast was conducted on the Thomson Reuters Institute channel and conducted by the “newly minted” Manager of Enterprise Content for Technology and Innovation with the Thomson Reuters Institute, Zach Warren (who was formerly the Editor of Legaltech News). His guest was Bobby Malhotra, who is of counsel in the Los Angeles office of law firm Munger, Tolles & Olson. Bobby was recently named co-leader of the firm’s information governance and eDiscovery practice, and he is a regular speaker on legal technology trends and issues (including a couple of panels with me). 🙂
In the podcast with Zach, Bobby explains what is meant by AI in law, and how the technology uses data to mimic human behavior, but in a way that augments legal work and frees attorneys and legal professionals to do what they do best. The main portion of the discussion involves Bobby discussing the four most common AI misconceptions that he sees, including that AI is no longer just for litigation and that it’s easier to “trust” AI than ever before.
Bobby also explains that it’s not crucial to know every under-the-hood piece of AI technology, but it is important to know how AI would fit into a law firm or legal department’s processes before trying to integrate it into a practice. Bobby and Zach also discuss how legal practices can adopt AI and how Bobby helps encourage AI adoption in his firm — as clients, firm partners, and other technologists may all require a different type of pitch.
It’s an informative podcast with two well-respected industry professionals about a topic – AI – for which there are common misconceptions. Check it out here!
So, what do you think? What do you consider to be the most common AI misconceptions? Please share any comments you might have or if you’d like to know more about a particular topic.
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