Harvey, every mention

mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where Harvey comes up

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▶ 11:52 Ranjan Roy The Sierras of the world are like anyone who has like a very clear Harvey's of the world, like they're building their platform, but is being differentiated.

▶ 9:31 Alex Kantrowitz Uh, Harvey, for instance, recently announced that they're gonna build their own models.

▶ 26:15 Aaron Levie So if you think about, there's the lab layer and then there's the applied layer cursors, the cursors, the, uh, the Harvey's,

▶ 42:32 Aaron Levie And I think like the classic debate that you'll see on, on, you know, on kind of social media around this is, you know, Harvey or Legora versus the, um, you know, versus the, the kind of more horizontal Claude co-work style agent.

▶ 24:25 Liz Hoffman Like I was just, I've been on a tour some, talking a bunch of lawyers recently and like, you know, they're using Harvey, they're using Lagoda, uh, you know, Thomson Reuters has spent a lot of money on, on AI and, and they've seen called… 2 times in the scene

▶ 15:50 Alex Kantrowitz Uh, I mean, come on, like, Harvey was out there already.

▶ 15:38 Melia Russell Yeah, and one of the BFDs in legal tech this year was Harvey announced a strategic partnership with LexisNexis. 4 times in the scene
▶ 22:15 Melia Russell Um, and this person claimed to be a former employee of Harvey, um, which, 3 times in the scene
▶ 45:26 Alex Kantrowitz Uh, before we leave, I want to talk about, um, these legal startups, which you've reported on extensively, uh, Harvey, the one that we've talked about here a bunch I've reported on for big technology a bit. 10 times in the scene

▶ 1:19 Alex Kantrowitz Uh, of course you have some point solutions like Harvey, which is really good for lawyers, um, but if you took the functionality that's baked within generative AI and you sort of unleashed it to all these startup developers without…
▶ 2:40 Rick Heitzman Litigation around who's training what, on what data, and is it all the books in the world, is it all the crawlers on Google, or all the crawlers on the open web, ah, and there's, there's not been a differentiation, differentiation based on… 3 times in the scene
▶ 8:01 Rick Heitzman Anything where you have a tremendous amount of knowledge, and you could take that knowledge and make it very specific to somebody, which, you know, again, going back to Harvey's, is not that different, right? 5 times in the scene

▶ 24:00 Brad Lightcap Um, and we get a lot of feedback from companies like Uber and Amgen and Harvey and Cursor, um, uh, lovable, uh, you know, um, uh,
▶ 25:52 Brad Lightcap And so, um, Harvey's a great example of that where, uh, you've got, you know, Harvey AI working with legal firms and law firms, 2 times in the scene

▶ 13:36 Alex Kantrowitz We're already starting to see this in practice with legal bots like Harvey.

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