In this week’s episode of The Geek in Review, Greg Lambert flies solo while co-host Marlene Gebauer enjoys some well-deserved relaxation. Greg welcomes Trevor Quick, Strategic Business Development lead at Harvey.ai, to discuss one of the most talked-about companies in legal tech today. With a staggering $300 million Series E funding round and a $5 billion valuation, Harvey is rewriting the narrative of what legal AI can be, as well as who it is for. Trevor, a longtime listener turned guest, brings an insider’s view of the company’s evolution and its ambitions for reshaping the legal services ecosystem.
Trevor provides behind-the-scenes insight into how Harvey has become such a magnet for both capital and attention. He attributes the rapid growth to the company’s structure—where legal expertise and AI engineering are in constant collaboration. From founder Winston Weinberg’s legal acumen to co-founder Gabe Pereyra’s technical leadership, Harvey’s DNA has always been rooted in practical use cases for lawyers. The company’s commitment to building with, not just for, the legal community has led to the development of a GTM team composed of practicing attorneys who work directly with law firms and corporate legal departments to customize AI solutions that align with real workflows.
One of the most talked-about moves is Harvey’s deepening partnership with LexisNexis. Trevor explains how integrating Lexis’s data directly into Harvey’s platform removes the friction lawyers face when juggling multiple research tools. With access to Shepard’s citations and native case law lookup, attorneys can now verify and trust the results Harvey generates—turning it from a generative assistant into a full-fledged research companion. This update not only boosts confidence but also meets the rigorous standards legal professionals demand, especially those skeptical of AI’s early stumbles.
The conversation also touches on Harvey’s new functionalities like the Workflow Builder, Vault document review enhancements, and Deep Research Mode. Trevor likens these innovations to “agentic” workflows that let users build custom solutions with low or no code. Whether it’s KM teams building tailored research processes, or attorneys streamlining diligence reviews, Harvey is giving legal professionals the ability to shape how AI works with them, not around them. Trevor emphasizes that Harvey’s success comes from its honesty, adaptability, and the trust it has earned by meeting lawyers where they are—not forcing them to change how they work overnight.
In closing, Greg asks Trevor to gaze into the crystal ball, and while Trevor jokingly admits that predicting the future in AI is a fool’s errand, he offers a vision rooted in intuition, collaboration, and democratized access to justice. From expanding into tax, compliance, and marketing workflows, to becoming a central hub for legal and adjacent industries, Harvey is on a path to not only augment what lawyers do, but to enhance how they feel about the work itself. With world-class partnerships and a relentless pace of innovation, Trevor makes a compelling case that Harvey isn’t just a tool—it might just be the toolbelt.
Listen on mobile platforms: Apple Podcasts | Spotify | YouTube
[Special Thanks to Legal Technology Hub for their sponsoring this episode.]
Blue Sky: @geeklawblog.com @marlgeb
Email: geekinreviewpodcast@gmail.com
Music: Jerry David DeCicca
Transcript
Greg Lambert (00:00)
Hey everyone, I’m Greg Lambert with the Geek in Review and I’m here with my friend Nikki Shaver from Legal Technology Hub. Nikki, you’ve got some exciting news about a new launch.
Nikki Shaver (00:11)
We do indeed, Greg. So I feel like whenever we come and chat with you guys, we have exciting things to announce. But today, this is really exciting news. The LTH Navigator is live on the Legal Tech Hub site. And what is the LTH Navigator, you may well ask. Well.
Greg Lambert (00:28)
just about to ask.
Nikki Shaver (00:31)
It’s the first Legal Tech AI chatbot. With the LTH Navigator, you can ask your plain language question across all of the data on the Legal Tech Hub site. We’ve been gathering data on the market, as you know, for five years now. And we’ve built a generative AI bot that sits on GPT 4.0 and is grounded in our LTH data so that users, in addition to browsing and keyword searching, can now come to the site and ask very targeted questions like,
is Definely SOC 2 certified? what’s the difference between Jigsaw and Structure Flow? what contract review solutions host their data in my region? Or what are the key features of leading document automation solutions? Answers will be generated along with links to the relevant sources on the site so you can verify answers and focus your research and reading and access the deep analytical content on our site more easily.
And bonus, although a lot of our content is for paying customers only, for now everyone will get one free query per week on LTH Navigator. So visit LegalTechnologyHub.com and try it for yourself. The first real LegalTech chatbot, live now.
Greg Lambert (01:44)
That sounds super useful. Thanks, Nikki.
Nikki Shaver (01:46)
Thanks, Greg.
Greg Lambert (01:55)
Welcome to the Geek in Review, the podcast focused on innovative and creative ideas in the legal industry. I’m Greg Lambert. Marlene is taking the week off. think she’s on the beach somewhere in Italy this week getting some R &R, so good for her. But this week we’re diving into some of the most high profile moves that are happening in legal tech right now, specifically with the folks over at Harvey.ai.
Recently there’s been a jaw-dropping 300 million dollar funding round.
valued at five billion dollars. There’s been a deep integration with LexisNexis that could reshape legal research. you know, right now I think Harvey’s kind of redefining what legal AI can do and kind of who’s ready to use it. joining to unpack all of this is someone who is also a University of Oklahoma fan, Trevor Quick, who is the strategic business development there at Harvey. So Trevor,
Welcome to the Geek and Review and boomer.
Trevor Quick (02:59)
Thanks for having me, Greg. Really excited to be here. Always nice to go from a listener to a contributor to a wonderful podcast.
Greg Lambert (03:04)
Yeah,
yeah, just, just so people know you and I have kind of been working together for the last, I don’t know, year, I guess, with, some of the stuff here at work. so it’s nice, nice to have you on because, you guys at Harvey are a little, little hard to pull into the, the podcast realm. So glad, glad to have you. So.
Trevor Quick (03:21)
You know, happy to
be here and I think that speaks to just how busy we’ve been trying to do everything else as well, but happy to cool my heels a little bit and spend some time chatting with you.
Greg Lambert (03:30)
Awesome, awesome. All right, well let’s start with the big news that’s happened recently. So $300 million series e-funding and a $5 billion valuation. I mean, you guys are in some serious territory now. Do you mind kind of walking through what this round of funding means for Harvey and why investors are really betting so big on legal AI right now?
Trevor Quick (03:55)
Yeah,
absolutely. I think for us, what it means for us is a couple things. One is recognition. I think there’s been a tremendous amount of hard work. We’re approaching three years as a company, and it’s awesome to be able to see kind of recognition of the…
effort, the growth, the innovation that we’ve been putting in, both from a product side, building out our team and the partners, whether firms or in-house teams that we’ve been able to work with, like you guys. think that it’s really just a vindication of what investors are hearing about what Harvey is doing for our partners. And once they see it and can kind of, know…
where we hope to be long term and who we can partner with as a result of that. You folks like you mentioned LexisNexis, but also iManage and so many countless others really recognize, Harvey is increasingly becoming a necessary tool, if not already, for users kind of around the world. And so we want to continue to kind of capitalize on that success and this latest round allows us to do that even more.
Greg Lambert (05:23)
So, we heard this week that
vLex was acquired by Clio. there’s a lot of movement going on, a lot of money going around, but I know a lot of startups would love to get just even a little percentage of what investors have invested in Harvey. So what is it that you think about Harvey’s approach that’s drawing this type of confidence? Is it just your early entry into the market, or do you think it’s something else?
Trevor Quick (05:51)
You know, I’m not sure what investors are thinking, but I’ll say what I think, you know, our users and our partner firms and our partner in-house teams really resonate with. And it’s the way we’re structured. We have been, from the very beginning, with Winston as our kind of legal founder and then Gabe as our technical founder. We’ve really been about…
really partnering generative AI at the cutting edge with the subject matter expertise in law to execute on that. And so that structure has been remarkably helpful for us. mean, working together with you, being able to have someone in the room who can get into the nitty gritty with our users, understand their use cases, understand their problems, how Harvey can help.
without having to level up or learn about the practice of law has been tremendously helpful. And I think that…
our growth in kind of staffing up that talent reflects kind of our growth as a company. I was the first person in seat in January last year for my team, a team of attorneys who partner with our GTM sales leads to really make sure that potential users understand what Harvey can do and how it can do it so effectively. And that team is now approaching 30 people. And so in 18 months, 30 people, that’s a lot of growth, but it reflects a real…
acknowledgement that that’s valuable, that that drives a stickiness of the product that combined with the kind of intuitive nature of Harvey and the best-in-class outputs really allows us to speak to a user base that is difficult for legal technology to kind of meet where they are usually, which is lawyers especially.
Greg Lambert (07:23)
And I think if people aren’t paying attention, it’s not just the money that you’re being able to drive, but also just who is driving that money. Because in fact, a lot of people would be surprised that LexisNexis has put in a lot of money, along with Sequoia, OpenAI, and more.
You you’ve got this unique combination of investors, really an elite group. So,
you have such a group of investors, especially in a space where it’s rapidly becoming crowded and noisy, what kind of strategic advantages do you think Harvey has by building these relationships with this type of investment companies?
Trevor Quick (08:04)
Yeah,
think, look, we’re incredibly privileged to work with folks like OpenAI, Sequoia, LexisNexis, Google Ventures, Kleiner Perkins. The list goes on. I think for us, it really helps build credibility in a very, I don’t want to say suspicious, but.
investigatory group of potential users, right? Law firms, legal professionals, those are folks who are incredibly focused on how can we make sure that what we’re seeing is accurate. These are people who negotiate, diligence, investigate professionally all the time. And partnering with those institutions really helps give us credibility on every front. I think partnering with OpenAI gives us credibility on the technical front.
But it also allows us to kind of leverage that relationship. And now we have relationships with Anthropic and with Gemini and making sure that we’re actually leveraging a multimodal approach that’s been really exciting. I think that on the Sequoia front, obviously what that means is kind of the professionalism of the business, the anticipation of how much we can grow. That speaks a lot, same with Kleiner Perkins, obviously. And then for, you know,
wants to be a part of this. If you’re talking to an engineer in Silicon Valley or myself, an attorney in New York, you say names like that, that raises eyebrows. And then I think from the Lexis side of things and RELX’s investment with us and coming back for more especially, I think signals that we really increasingly are a must have tool.
in a lawyer’s tool belt, or if we’re not the tool belt itself, as we like to think. But I think that that means that we’re gonna continue to produce that best in quality legal output, and with that best quality legal output, we’re hoping that there is a flywheel effect, like our users see with efficiency on the platform, with partnerships, know, I manage and so on. And so the investor part speaks to a kind of deeper relationship and trust. It’s also a huge kudos to our team. I mean, the folks working on these
rounds on these partnerships. They are some of the most talented people in the world. They could be working anywhere and they’re working with us and they’re helping kind of deliver value across the platform and across the company for all of us and we’re really excited to have them.
Greg Lambert (10:08)
Well, I know for this audience, the LexisNexis partnership, especially with the data, the Lexis data that was announced this month, let’s dig into that a little bit. So what does that collaboration with LexisNexis and Harvey…
enable you to do that wasn’t possible before. Are you now able to think with the Lexis data?
Trevor Quick (10:34)
Yeah, that’s a great question. mean, first, I really want to call out how excited we are to work with Lexis personally as someone who is an avid Lexis user in law school. Really excited to get to kind of partner with them and leverage the benefits of what they’ve put together as a business over decades in the platform in a native and kind of intuitive way. And I think that that’s really the value add, right? Harvey has always been very forward leaning and open about we want to meet attorneys where they are and we want to make sure that they’re leveraging the kind of best data
I always say that I think about everything an attorney does in a series of steps, and I try to figure out where Harvey can plug into those steps. Increasingly, we’re able to plug in more of those steps, and Lexis is a lot of steps that we can now do. think making it native to the platform, the one thing that we consistently hear from maybe more skeptical ⁓ prospective partners is, don’t want to make my attorneys, my users kind of jump around to a bunch of different windows to leverage the full capacity of generative AI.
allows them to do that more effectively in the platform. And we’ve always been big on trust but verify. We internally and externally test Harvey’s outputs and we really are very excited that we have those best-in-class marks when kind of tested in that way. But we also know that attorneys want to verify the information they’re getting from Harvey, from any generative AI tool. And this LexisNexis partnership allows us to give to our users
that case law, that statutory law, those shepherd citations in a format that’s very intuitive and easy for them to access, as well as verify very quickly so that they continue to benefit from the efficiencies of generative AI powered by Harvey. And so.
I think that maybe some of our users were already leveraging kind Lexis results in their kind of platform usage, but now it’s going to be even more intuitive and easy for those who want it. It is an add-on, and so if folks aren’t interested, they are welcome to say that they’re fine with Harvey as is, and that’s a lot of people,
Greg Lambert (12:33)
So yeah, that’s been one of the things that, and I’m living proof of this, of having lawyers jump from one system to another. So if we were to get the Lexis add-on for this, then, because right now, I think most of us that have Harvey,
say, you know, this is great with the data that you give it, but don’t use it for pure legal research. you’re saying is this will enable attorneys, especially litigators now, to kind of leverage Harvey for the pure legal research part of it now.
Trevor Quick (13:08)
That’s exactly right. So the same way that they would want to use and leverage generative AI to kind of dissect legal research across that database, they’re doing now native in the Harvey platform with those citations that we’re famous for that have really become kind of a, you know.
Common throughout the industry now after that kind of innovation on our end, think that folks now will be excited to be able to do that with Lexis data underlying it, going and seeing those Shepard citations, seeing the actual case law, and being able to, again, feel confident that Harvey’s best-in-class outputs not only are best-in-class, but…
best for their clients. And I think that we’re really excited to see that. And it’s the first step in hopefully a long and fruitful partnership for us both. So I think step one is getting that case law, that statutory law, those Shepard citations for the US up and running, and then figuring out where else we can deploy their kind of expertise and data set with our generative AI know-how.
Greg Lambert (14:02)
Well, let’s kind of dovetail that with your relationship with iManage as well. What is that relationship going to enable the users to do?
Trevor Quick (14:12)
Yeah, I
think, again, really throughout all of our partnerships, it’s about where can we meet attorneys where they’re currently working. That’s why we have a Microsoft Word add-in. That’s why we already have integrations with SharePoint and Google Drive, and we’re excited to add iManage to that. I am not an engineer. I clearly made a career misstep going the legal route instead of the generative AI engineer. But the integration will be comprehensive. And we are the only
legal tech generative AI company out there that has an official partnership with iManage. And so I think kind of taking their incredible functionality, their incredible user base, and making it so that they can better use Harvey, and doing vice versa for them, helping them tap into our user base and make the documents that our users already have on iManage more accessible and valuable is really going to be important and impactful.
Greg Lambert (15:08)
Well, I you just said that you missed out by not being an AI engineer, but there’s recently been some improvements in the functionality. And I think one that really stood out to me was the, recently launched the workflow builder. Cause there’s been some workflows that have been developed on the backend by Harvey. And now you’re enabling us to kind of set up some workflows.
on our side as well and you know do and now you’ve got like not just the workflow builder but you know the vault document review enhancements and now deep research mode. So if you could give our listeners your elevator pitch on these three new capabilities as problem solvers for lawyers how would you pitch us? ⁓
Trevor Quick (15:59)
Yeah,
so that’s long elevator ride, I guess, if I’m doing all three. ⁓ I think for workflow, great. That sounds like a miserable elevator ride for whoever’s in the elevator with me, but happy to. So I think for Workflow Builder, it’s really about transforming Harvey’s kind of first foray into agentic workflows, that kind of first foray by the industry from a one size fits all solution.
Greg Lambert (16:02)
Let’s do three elevator rides.
Trevor Quick (16:22)
kind of out of the box, here you go, into an industry first series of low code, no code, self-build custom solutions. We always recognize that we are working with some of the foremost legal minds and legal businesses in the world, and we have the humility to recognize that they understand better how they wanna do things, and we’re now giving them the tools to benefit from Harvey’s capabilities and the efficiencies that go with those on their own.
For vault improvements, think it recognizes that.
We’re listening to the feedback we have heard on how to make legal analysis and leveraging of these large corpuses of documents more responsive to users’ needs. And this will allow them to better engage in those bulk document reviews more efficiently and effectively, while also allowing them to better input their own legal thoughts into the output that Harvey provides. And then for deep research mode, think just really enabling legal agent workflows across more and more capabilities that meet the most complex legal
workflows that our users are engaging with. it’s crazy that all of this has happened in basically the last month. It feels like a full-time job to stay up to date on what Harvey is doing internally, let alone what we’re doing and rolling out for our users. So it’s been really exciting and a welcome if it’s a difficult one.
Greg Lambert (17:39)
Yeah, so I’m curious out of the three tools that we just talked about, do you think any of these are gaining faster adoption right now or do you have any kind of success stories that you’ve heard yet?
Trevor Quick (17:53)
Yeah,
I mean, think really per usual with Harvey’s functionalities, it depends on the firm. We continue to be that utility belt that firms use in different ways or in-house teams as well. I think what’s really exciting to me about Workflow Builder is the opportunity to partner directly with some of the amazing folks internally, whether again at law firms or in-house that we partner with already to ideate and really kind of scheme up how they can use this tool most effectively.
where I am personally most excited, but I think that the Vault improvement, we have firms that really just are all in on Vault, and for them, the improvements there recognize the kind of thoughtful partnership that we try to bring to the table at all times. And then for deep research, candidly, I think anyone who’s been excited about evolution in generative AI writ large, not only seeing that kind of get brought over into what Harvey’s doing, but the speed with which we were able to take it from open AI announces it to we’re deploying it, shows that we’re continuing to get even
better at taking those kind of foundational model improvements and not just putting them into what Harvey is able to do but leveraging that especially successfully. those are all things I’m really excited about and I’m excited to see which one you know for which users is the most powerful.
Greg Lambert (19:06)
Yeah, yeah, and I know a lot of firms have had KM teams for years. Recently, a lot of firms are leveraging what they’re calling innovation teams. So how do you get information from these teams within the firms to help kind of direct the roadmap that you have at Harvey there?
Trevor Quick (19:25)
as much as we can. mean, truly, they’re tremendous partners. We are excited to get to work with them. We are thankful for their time, their attention to detail, and their care about what we’re doing here. I don’t know that we could do what we’re doing without their help. Whether it’s those innovation teams, whether it’s knowledge management, whether it’s new structures, old structures, folks who’ve been at law firms for a while, those who are just arriving and excited to kind of deploy generative AI, we’re trying to listen to everyone we work with.
Whether those are folks who kind of decide to go with us or not. It’s valuable all the same These are people who can help us connect with different ⁓ users whether they’re attorneys or legal adjacent users as I would call them or these are folks who are themselves attorneys and kind of leading the charge I will say that our product team is constantly on calls not just previewing the roadmap not dictating but as is true of everything we try to do across the platform really making sure it’s a bilateral conversation and
Inevitably, I think that that puts us in a really awesome position to continue to grow and match the needs of our users. And hopefully, innovation and KM professionals that we work with continue to feel that we’re not just giving tools that kind of are responsive to what they’re asking for, but like I think with Workflow Builder, really elevate what they’re already doing and doing it at a scale and speed that is hard to imagine outside kind of the tech industry.
Greg Lambert (20:50)
now I’d read where I think Harvey is now being used by.
a third of the AmLaw 100 which is a huge accomplishment for a product that really didn’t exist three years ago, right? ⁓ And you also hear, want to just kind of also reiterate what a big deal it is because it’s not that it’s just being piloted, but it’s actually being used
So what is it about Harvey that is appealing to this group of lawyers who are typically risk adverse? What is it that you’re doing that’s enabling them to actually engage and use the platform?
Trevor Quick (21:32)
Yeah, I mean, we’ve talked about it already, but I think the subject matter expertise is huge. A recent Fortune article kind of, I think, pegged at 18 percent of the company are attorneys. And so, like I mentioned earlier, my team’s growth and that’s true across the company – just making sure that we actually have folks who are practitioners. And that’s not just true in the U.S. It’s also true in the UK, in a variety of other jurisdictions in which we have users. And that allows us to get really into the nitty-gritty.
that folks don’t feel like they’re just getting a technical solution and unsure how to deploy. We’re actually talking to them about use cases. I always say that we want to be prescriptive at the start and then over time we want to do that unlawyering thing of really listening and that’s what we’re doing over time, is we’re continuing to say this is where we think based on the conversations we’re having you’ll see use of the platform most effectively and then as they get into the platform being as responsive as we can I think really bring in that service mindset that
that underpins legal work generally to Harvey has been huge. think ⁓ being honest and innovative, which I know is kind of a combo there, but we’re always very clear on what Harvey can do. We want to be crystal clear. is the margin for error in generative AI is, you know.
typical of tech, I think the margin for error in legal is the standard is perfect. And so how do we make sure that we’re meeting that standard? We want to be honest and tell people, look, this is how we would recommend using the platform. These are areas where you might run into more issues that are endemic to the technology. And then once we’ve done that and built that trust, that candor, the innovations can kind of really shine. Because then they know we’re not.
just kind of fluffing the product when we say, here’s what Harvey does, here’s the new capability, here’s how we envision it working for you. And I think that that’s very helpful. In my time at Harvey, we’ve gone from being able to handle five documents at a time to now 10,000 in vault. And that’s in now 18 months, but I think that that took place in about a year. That’s a crazy level of innovation, but it only…
Greg Lambert (23:32)
I was going say it was five
when I started off.
Trevor Quick (23:34)
Yeah, and that’s only
possible if you’re honest upfront, right? I think, you know, if you don’t say, it can only handle five at the onset, if you say it can handle 10,000, people won’t give you that second chance, especially not lawyers. And then ultimately, I think that there’s the element of the previous partnerships. I practiced at Skadden Arps and I know in the 1980s, Skadden Arps really grew by virtue of its kind of like embracing of hostile takeovers, and a lot of firms wouldn’t touch that work.
Then Skadden started having a tremendous amount of success with that work. And a lot of law firms said, okay, that works for Skadden. They’re now getting the clients that we would like to have or had. We would like to do the same type of work as them. And I think that that’s true in legal technology as well. If your clients are undergoing this kind of generative AI revolution that we’re seeing globally in every facet of our lives, and you as a law firm are not going along with them, can be a hard conversation.
I think that’s where, again, having subject matter experts, being honest and being so innovative allows us to step in and say, hey, we can be a great solution for you, but we can also be the type of solution you can talk to your clients about and they’re not gonna have concerns because we put the technical side at the forefront, the security side at the forefront. We really wanna be best in class from service, from output, from all of those different areas, and that’s had a lot of success. I frankly am surprised more people aren’t trying to do it, but here we are and we’re excited.
to kind of have hopefully cracked the code a little bit.
Greg Lambert (25:02)
Yeah, let’s flip that coin because there’s a lot of talk in how it can improve what it is that the lawyers do. But also, I know you’ve heard this because I’ve heard this, when people use something and they see that something that took hours to do can now take minutes to do. The first thing a lot of, especially some of my older partners come to me
I mean,
it was like, hey, I’m glad I’m retiring within five, 10 years, because I don’t know that I’m going to have a job. And I know we talk a lot about AI not replacing lawyers, but rather augmenting lawyers and opening up opportunities. But when a lawyer comes to you and has that fear about AI potentially eliminating jobs and legal, what is it that you tell them?
Trevor Quick (25:51)
I mean, frankly, what I hear from attorneys that I speak with every day is excitement for what it’s going to eliminate off of their plate every day. I mean, we’re talking about bulk rote tasks that take hours and hours on end. I think that there is an existential crisis in many cases where attorneys aren’t doing the work that either they went to law school for or they got into the practice of law for. And Harvey allows them to re-center on the work that actually feels and rewards what they want to do, those difficult problems.
there’s no doubt that the work is important, but I think as someone who is a transactional attorney, spending, you eight, 10, 20 hours doing documentary diligence on thousands of documents to produce just massive due diligence reports, those are things that I candidly was not dreaming of doing in law school, and I don’t think anyone else was either. So I think in a profession that really does struggle with how do you train attorneys to get better without just giving them the work,
Harvey offers a lot of ways that you can use it and get that work done while actually feeling a little bit more like you’re growing as a person and growing as an attorney. Ultimately, I think that the success we’re having is due to people really buying into the idea that AI augments their capabilities. makes them more effective attorneys. And when you boil it down, whether you’re in-house or at a law firm, it’s all about client advocacy and being able to do that.
more effectively not just makes you better at your job but it makes you feel better about your job because you know every day that you’re actually stuff you know facing and and dealing with the hardest problems available.
Greg Lambert (27:27)
Beyond legal, and I guess this is tangential to legal, ⁓ Harvey’s expanding into some other areas such as tax and accounting, compliance. So how are you at Harvey thinking about the future role of Harvey in these adjacent professional services?
Trevor Quick (27:47)
Yeah, mean, one, we’re excited. We’re always excited to kind of find that folks in different fields. I mean, I think it’s, for me, I’m a people person, I like to think, and it’s excited to have just more people who will put up with listening to me talk about what Harvey can do. But really, it’s about…
Greg Lambert (27:52)
It’s nice to have a bigger market, huh?
Trevor Quick (28:04)
taking the same approach that we think we’ve been very successful with so far and bringing that broader. We want to partner with the best out there. I think one of the interesting things about the way that Winston and Gabe kind of approached Harvey’s growth from the earliest stages is that they wanted to work with the biggest and the best firms and cement the quality market signaling in that way. And I think we want to do that in these other areas. We want to continue to partner with leaders in these various spaces.
And ultimately, we want to grow together. I think that we try to bring a level of humility, again, in everything we do. We want to have expertise on our end that’s not just generative AI, but is specific to those industries and those use cases, and continue to build in that direction with them. And I think the way that we continue to grow the tool allows it to be more plug and play for your individual use cases and updating to match your needs so that folks are able to kind of steer the product in the way
that they would like to go and leverage the platform for their benefit. Ultimately, I think already working with PWC, seeing a lot of interest with in-house teams, with law firms about different applications and practice areas of Harvey. I think we’re continuing to see just real excitement about what Harvey can do in the same way that we’re seeing it in legal. so copying that formula with some lessons learned baked in, I think, is really crucial to success.
Greg Lambert (29:25)
Yeah,
well I know a little bit off topic on that but I know within in the firms themselves a lot of usage of Harvey isn’t necessarily the legal but rather you know the marketing and some some of the back office things as well. Are you seeing some success in that area as well?
Trevor Quick (29:46)
Absolutely.
mean, I remember working with your team and that was really exciting because about leveraging the strengths of what we can do already with the know-how of our users and our partners. And so making sure we’re doing that again wherever they want to operate, we want to do so. And it’s been really exciting to see. You never thought you could get me so excited about client alerts and marketing stuff for someone who did not choose to do that path. And instead, we’re every day just kind of marveling at the new use cases that our users are coming
up with and how they’re leveraging the platform. And we’re honored that they make us a part of those conversations on how to continue to grow and improve their use of Harvey to continue to deliver results in those far-flung areas of the practice of law or legal adjacent workflows as I like to think of them.
Greg Lambert (30:32)
Yeah, and I would think with the deep research and with the agenic workflows and things like that, that’s just, you’re gonna see more and more of those not specifically legal use cases, both at law firms and elsewhere.
Trevor Quick (30:46)
We
hope so and we’re already starting to see it but it never hurts to continue to see growth and exploration of the platform in new and novel areas.
Greg Lambert (30:55)
All right, Trevor, well, we’ve reached the crystal ball question, so I’ll let you reach down, pull out your crystal ball, and look into the future for What do you think the legal services ecosystem kind of looks like if Harvey’s vision is fully realized?
Trevor Quick (31:14)
I think the one thing I’ve learned in 18 months in generative AI is if I try to predict the future, I’m going to remove all doubt about my lack of knowledge about the future. ⁓ I do think from the themes that we’re kind of continuing to grow on, we’re going to see more and more doubling down on intuitiveness, making sure that what users are being asked to do on the platform and being asked to do in leveraging generative AI for their legal needs is going to seek to be more intuitive and less
heavy of a burden, whether it’s prompting burden or kind of window jumping as we were talking about, I think the other thing is collaboration. We’re hearing a tremendous amount of appetite both from the law firm side as well as from the kind of in-house or client side that they want to be working together. And we’re really excited for what the platform offers them in that way and ⁓ being able to kind of build a very secure playground where folks can collaborate together very effectively and efficiently.
Ultimately, I think we really want to move towards just democratizing access to the legal system. And so anything we can do that kind of
continues to build in that direction and does that for high level professional services, we’re really excited about. But at this point, it feels like at Harvey, every day the future is next week. ⁓ I am suffering under a deluge of product updates, partnership updates. It feels like I can’t go on LinkedIn without finding out that one of my coworkers has been quite the busy little bee getting something stood up and running. at this point, a couple of years feels like it might be tomorrow. So we’re just excited to kind of be along for the
Greg Lambert (32:26)
Yes.
Trevor Quick (32:44)
ride and get to work with folks like you on the way.
Greg Lambert (32:46)
Alright, well, Trevor Quick from Harvey, I want to thank you very much for taking the time to join me on the Geek in Review today.
Trevor Quick (32:53)
Yeah, thank you so much for having me. Really appreciate it. And folks, obviously, if they want to kind of reach out, they’re welcome to ping me at trevor@harvey.ai or just visit our website, harvey.ai or LinkedIn or I am sure a million social media accounts that I am not aware of the social media platform itself.
Greg Lambert (33:09)
Alright, thanks again Trevor and thanks to everyone for listening to the Geek and Review. If you liked the episode, please feel free to share it with a colleague and friend or a colleague’s friend or a colleague’s family member and you can let us know your thoughts on LinkedIn or Blue Sky and that part will be read a lot better next week when Marlene is back. And as always, the music that you hear is from Jerry David DeCicca So thanks again.
Trevor.
Trevor Quick (33:40)
Thank you very much, Greg.