Pod Insights How I Invest with David Weisburd E252: Inside the Mind of a 29-Year-Old Billion-Dollar Fund Manager About this episode How do you scale from a $10M first fund to managing over $1.5B — all in one of the most capacity-constrained asset classes on earth?
In this episode, I talk with Eva Shang, Co-founder and General Founder of Legalist, about dropping out of Harvard, getting into Y Combinator, pivoting from legal analytics to litigation finance, and raising their first $10M fund long before they had any track record.
We discuss why Legalist chose the fund model over the venture-backed originator model, how they deployed their algorithm to find late-stage cases at scale, why litigation finance is capacity constrained, and how Legalist expanded into adjacent strategies like bankruptcy, mass torts, law-firm lending, and government receivables.
Transcript Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.
0:00 David Weisburd? You dropped out of Harvard to start Legalist. It's one of the most unique stories that I've heard of a startup. Tell me about how you started Legalist.
0:08 Speaker 01 Well, I wouldn't say it's all that unique. The Harvard dropout story is sadly a little bit of a cliche at this point. But my co-founder Christian and I started Legalist in 2016 when we were undergrads at Harvard. We originally thought we were building a legal analytics startup. So Christian had identified the Massachusetts State Court website. And at the time, legal tech was kind of a hot space. And then a bunch of those companies died. And lately, it's become a bit of a hot space again. We had this idea that we would take the Massachusetts State Court website, which was this incredibly antiquated website. We would take that information, package it up into analytics, and then sell it back to attorneys.
0:49 Speaker 01 And that was the premise behind the original incarnation of Legalist. And that's how we got into Y Combinator in 2016. And unfortunately, as soon as we got into Y Combinator, like the very first day, John Levy, who's the general counsel at Y Combinator, pulls us aside after the intro meeting. And he's like, yeah, I don't like your idea very much. And Christian and I were like, well, we just got here. What exactly do you not like about our idea? And John Levy says, he's like, well, you see, lawyers already know if their cases are dogs, and they don't really care. And so that's why I don't think your idea is going to work. And we were like, that is an excellent point that, to be honest, we had not really considered.
1:33 Speaker 01 So he said, how about instead of selling lawyers information they already know about whether their cases are dogs or not, you take that information, which by then we were scraping not just Massachusetts, but state and federal courts all over the country. And we were doing it live. So we were getting information about motions that had passed often before the attorneys and the clients were even notified. So he said, if you have that kind of bird's eye view, why don't you go into a field where you can actually make money off of it, such as litigation finance? And we said, Can you introduce us to anyone in litigation finance that we can talk to? And he said, I can't, but I can introduce you to someone who really hates litigation finance, i.e. someone in insurance.
2:18 Speaker 01 And we were like, all right, whatever we can get. So we get on the phone with this guy who's in insurance. And as you probably can surmise, insurance is the mirror image of litigation finance. As in, the premise of litigation finance is that if you invest on the plaintiff's side of a lawsuit and the case pays out, then you get a payout. And if the case loses, then you get nothing. Insurance is the mirror image where the defendant pays in advance. And if the case settles for very little, then they make money. And if the case settles for a lot, well, then they lose a lot of money. So we get on the phone with this insurance guy and he's like, litigation finance, the bane of my existence. And we were like, sounds like a good asset class to be in.
3:03 Speaker 01 And that's how we got started.
3:05 David Weisburd? So you started the company going with a counterparty? And you decided to go the route of a fund versus a startup that serviced funds? Tell me about that decision. Was that the right decision?
3:16 Speaker 01 That's a great question. So around the time that we started, there were essentially two business models for a fintech originator. One of them was the model that we took, which was much more challenging. So when we decided to go into litigation finance, we decided to raise successive funds as an asset management company. The problem with raising successive funds as an asset management company is that it's very hard to get limited partners interested in your fund without a track record, without investment experience, et cetera, et cetera. The second route, which was much more accessible to your conventional fintech originator, was the venture capital route where you raise debt facilities on top.
4:00 Speaker 01 And you actually saw a lot of unusual asset classes go this route. So in addition to litigation finance, you had every kind of alternative asset class you could think of. You had art, you had various kinds of revenue-based financing.
4:17 Speaker 01 And the problem with that model, and the reason why we decided not to take legalists down that route, is that if you're operating in a capacity constrained asset class, ultimately, underwriting is the most important thing, because there are 50 million litigation cases out there, and not very many of them, which are actually going to win a significant amount. And the venture model encourages fintech originators to measure success by how much they can originate successfully. And originate successfully means they have to fund increasing amounts year after year after year. Ultimately, the hallmark of a good asset manager is not volume of origination, but rather
4:58 Speaker 01 the IRR of your investments that you actually make. And in a capacity constrained asset class like litigation finance, it would be very easy to throw money at one of the 50 million cases out there, haphazardly. But it's much more challenging to, year after year, make money investing in those cases. And we just didn't want the pressure of having to originate cases at an increasing caseload without knowing how large the market was before we got in.
5:28 David Weisburd? You didn't want something that started out fast and looked really sexy, but ultimately would crash and burn because there's no intrinsic value in the model. You chose to start with a $10 million fund and grow slowly in order to build something sustainable.
5:42 Speaker 01 Exactly, exactly. It's not a very popular decision here in the Valley.
5:46 David Weisburd? The way that I always explain this, which is extremely obvious in retrospect, is that in order to be a billionaire, you have to create 10 billion plus in value. In order to be a decabillionaire, you have to create $100 billion plus in value. And the only way to do that, outside of ending up like SBF and being in jail, is to create sustainable, enduring value that has enterprise and termination value, which means at year 10, you could sell it for some multiple. To make that in cash is extremely, if not impossible, extremely difficult. So you have to start, regardless of what it looks like in the beginning, you have to build a business that is worth something in year 10, that's compounding, and that has a multiple associated with it, where public investors could say, or even late-stage, an acquirer could say,
6:29 David Weisburd? "Well, this is an enduring asset that will pay off $1 billion a year over the next 20 years, so now it's worth $100 billion." There are really no shortcuts to that rule.
6:38 Speaker 01 Right, right, right. Well, I can think of one shortcut, which is Adam Newman, but that requires someone being on the losing end. And I don't really think very many people want to go that route.
6:48 David Weisburd? We'll give Adam Newman a pass. So you went out to raise a $10 million fund, probably a little bit naive in asset management. What were your first principles in pursuing that strategy? And what did you quickly learn from that experience?
7:03 Speaker 01 When we went out to raise the first $10 million fund, I think we significantly underestimated how difficult it would be. That's the thing with advisors and VC investors. So Y Combinator was like, you know what you should do? You should really go out there and try to raise a $10 million fund. And we were like, oh, okay. And it turns out like all things that people who don't have to do it themselves tell you, it's much easier said than done. So we spent a long time knocking on doors. And I have to give a lot of credit to people in the valley who are willing to take a shot on something that sounds a little bit crazy. That $10 million fund ended up doing extremely well. And as a result, we were able to raise a $100 million fund, a $300 million fund. And today we manage about a billion and a half of assets under management.
7:49 Speaker 01 But I think if I were to go back in time, and you know, I do frequently get pitched as a personal investment, kind of unlikely fintech originator first time funds today. If I were looking at my own pitch deck from back then, I'd probably be like, I don't really know about this. I don't really know if they know what they're doing.
8:08 David Weisburd? So you went from 10 million to 1.5 billion. It's enormous increase in assets, almost unprecedented. I don't think I've had anyone on the show that's gone up 150x in AUM over any time. Maybe Electric Capital had a similar trajectory.
8:24 David Weisburd? What was the keys to that? And why were you able to do that in a relatively short order?
8:29 Speaker 01 I would not describe it as a relatively short order, unfortunately. So that first $10 million fund we raised in 2017, it took two years to deploy. And those are some of the most demoralizing years of my life. Because unfortunately, compared to everyone else we went through Y Combinator with in 2016, we had no visible signs of progress. So our compatriots, you know, three years out, they were, they had increased revenue. Whereas when you raise a fund, you're kind of just flat and you're deploying that fund and you're in a waiting game. You're waiting for your first cases to return. I remember we were working out of this office on Harrison Street in San Francisco and the startup right across the hall from us, they had just started.
9:12 Speaker 01 And they were flush with cash from venture capital and they were just very high energy. And we were like in it for the long haul. We were grinding. And really, the, the turn came, the inflection point came when we raised Fund Two. Cause Fund Two was a $100 million fund. And now all of a sudden, we were an institutional-grade litigation funder. But those early years were extremely challenging. Once we were an institutional-grade litigation funder, our LPs started to notice that even though we were operating in this highly capacity-constrained asset class as our primary strategy, our technology advantage, the process that we had built, where you take a bird's eye view of litigation finance, you pick cases that are already primed for success,
9:56 Speaker 01 and then you invest in them at scale, could be applied to additional asset classes. So we started getting approached for funds of one, for SMAs, in things that were adjacent to what we were doing, which is how our bankruptcy strategy developed, which is how we started doing a little bit of mass torts, a little bit of law firm lending, and how ultimately our, our most recent strategy, government receivables, was born as well.
10:20 David Weisburd? I want to highlight something that you said because a lot of people are not, especially people who are starting out their first or second funds. They think LPs care a lot about alpha returns. But really what they care about is smart alpha, meaning what is the process that you're running over and over that gives you that edge every single time so that you could replicate it? LPs, I've seen many funds that have returned 10, 20, 30x. And then next fund, you know, returns 1 to 2x, sometimes even loses money. So they're wary of that. A, do you agree with that? And B, how did that help shape your strategy?
10:53 Speaker 01 Yeah, I completely agree with that, although I think it differs which kind of LPs you're talking to. So family offices in particular are often much more risk takers. If it's a principal managing their own money, then they care a lot about the story. And then if you go to pension funds, OCIOs, consultants, they care a lot more about your cybersecurity policy, whether your ODD checks out, whether you have a key man provision in place that makes sure that, you know, if someone gets hit by a bus, they get their money back. So I think it really differs as you go up the chain in terms of how much dollars people are allocating.
11:27 David Weisburd? So you've used this term several times, capacity constrained asset. Double click exactly on what you mean by that. And why is litigation finance cap capacity constrained?
11:37 Speaker 01 A capacity constrained asset class is an asset class that does not work if you put infinite money into it. Obviously, most strategies are capacity constrained to some degree, but some asset classes are more capacity constrained than others. Probably the least capacity constrained asset class would be long only equity. The stock market is very large. Real estate, also not super capacity constrained. But there are a finite number of bankruptcy cases every year. There are a finite number of litigation cases per year. And even more, there is a finite number of good, winning litigation cases per year.
12:15 Speaker 01 Investors who don't realize that an asset class is capacity constrained will flood money into an asset class and then be surprised when it's not a perpetual money machine that can eat any type of money. I think that a lot of strategies that generate super high alpha are capacity constrained because the purpose of a market is to erode alpha. A perfectly efficient market means that nobody makes any returns. Everybody only returns cost of capital exactly. And the reason that so many LPs are looking for capacity constrained strategies is because that is the only area where alpha has not been eroded away.
12:50 David Weisburd? Said another way, it's the answer to why is Yale Endowment not doing this? Yale Endowment is not doing it because they can't write a large enough check in the strategy. Otherwise, they would probably be doing the asset class.
13:01 Speaker 01 You mean, why is Yale not investing in litigation finance?
13:05 David Weisburd? You know, there's this, there's this thought experiment in venture, which is why did Sequoia pass? Why did Andre passed? Why did Benchmark pass? So what do they know that I don't know? In asset management, one of the reasons why the top investors in the world, which I categorize as
13:19 Speaker 01 D shall not
13:19 David Weisburd? elements, single family, multifamily, obviously, some pension funds are forward leaning as well. Why are they not doing this asset class? Sometimes the answer is the fund sizes are too small.
13:30 Speaker 01 Right.
13:30 David Weisburd? Capacity constraint.
13:31 Speaker 01 Yes, exactly.
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14:16 Speaker 01 Exactly.
14:17 David Weisburd? Taking a step back, tell me about the structure of litigation finance. What exactly are you buying? What does our structure look like?
14:24 Speaker 01 Litigation finance is an interesting asset class that originated about 15, 20 years ago in the UK and Australia. And in the UK and Australia, they're actually a lot less plaintiff friendly. So if you, you as a plaintiff, start a litigation case and you lose, you're responsible for all of the costs of the defendant. And as a result, an industry popped up called ATE insurance, after the event insurance. And that was the original litigation financing. When it came over to the United States, people identified that there are certain types of cases which lawyers did not take on contingency. In the US, contingency lawyers are the original litigation funders,
15:02 Speaker 01 where they are investing their own time plus court costs and then recouping some percentage of the case if the case is successful. So you can think of the personal injury billboards that you see as the original litigation funders. The reason that personal injury is ripe for contingency and other types of plaintiff's law are not is because a personal injury case is usually very small and a personal injury lawyer can have a portfolio of hundreds of these cases and therefore have a consistent cash stream and be very diversified. Now, if you were to go to Cooley or Winston-Straughn or any of the good law firms that you as a white collar individual would go to, they do not work on contingency. They work on the billable hour. So they send you
15:45 David Weisburd? And why is it?
15:45 Speaker 01 A bill, yeah. They work on the billable hour primarily because, let's say the average partner has a $2 million a year book of business. That usually comes from only a few clients. So if they were to take those three clients on contingency, those cases would last for three years and they would make no money for three years. It's just not very conducive to the model of a big law firm. It's not like a personal injury case or an employment case where, one, the plaintiffs don't have any ability to pay. And two, you can get a settlement basically anytime you want from at least one of the cases and keep the lights on. So big law firms, especially white shoe law firms, just don't have the contingency built into their business model.
16:26 Speaker 01 They're also very risk averse constitutionally, which I think you can understand from the work that they do. And that's really how litigation finance came to be. So litigation finance essentially fills that contingency gap for lawyers that don't take contingency, usually in more complex, commercial litigation cases.
16:45 David Weisburd? Where is the alpha in the strategy? Why is there a premium return in litigation finance on a risk-adjusted basis?
16:52 Speaker 01 So there's not a premium return for every litigation funder, just to be clear. When we came into this space, it was sort of wave one of litigation funding. And wave one of litigation funding was characterized by top lawyers from top law firms that were leaving their firms to start litigation funders. And they were usually investing in single cases brought by their friends, their former colleagues at their old firms. They usually ran very concentrated portfolios, which had pluses and minuses, as you know, with any kind of concentrated portfolio. The plus is that some litigation funders have done extremely well. So the most famous litigation funder is probably Burford, which is a publicly traded company.
17:37 Speaker 01 And if you look at a stock picker analysis, Burford's stock price has shot up in part because of, or actually primarily because of one particular set of claims known as the Peterson claims. And they've done extremely well for that reason. Many litigation funders from that same vintage did not do so well because they picked a version of the Peterson claims that did not do so well. So our thesis when we came into litigation finance was that we did not need to take such extreme concentration risk when we could instead use our algorithm to identify on an algorithmic basis, cases that were late-stage across the country and invest small amounts in each one.
18:21 Speaker 01 So we've made over 500 investments and have had over 200 realizations. That kind of diversification is pretty unusual for a litigation funder, and it's a big part of the reason why we're successful. Many other litigation funders are successful simply because they have really good judgment and really great lawyers, and they're good at picking claims. And that's a different source of alpha than the ones that we strive for.
18:43 David Weisburd? As you started to grow, LP started coming to you and talking about government receivables. How did that climb out? And how did you operationalize that within your strategy?
18:52 Speaker 01 Yeah, so government receivables is our most recent and fastest growing asset class. It really started for us because in late 2021, we had a university endowment at our annual meeting pull us aside and say, I would really like to get more exposure to government receivables. I've been looking for this exposure everywhere, but it is an asset class that there are not very many people in, and I've already tried a couple of the managers, and I think you guys would be really good at it.
19:22 Speaker 01 And we were a little bit more circumspect about the prospect because we said, well, you know, government receivables, it's a little different than what we do, which is usually litigation or court related. Why do you think it would be a good fit for us? And what they explained to us is that the government makes all types of payments primarily to contractors that do work for the government, but also to any type of policy priority that they want to incentivize more of from the private sector. And these government receivables are usually very short duration. So on average, our portfolio has disbursement durations around 135 days. It's income generating, so for our investors, it looks like kind of a steady quarterly return stream.
20:09 Speaker 01 However, these are very hard to source. The reason they're hard to source is because any type of stable predictable payment can be factored into underwriting by a bank. And so it's really only when people run into extreme growth or extreme decline that government receivables financing becomes attractive for them. And as a result, this LP said, you guys have the legal underwriting expertise to actually underwrite these, and I believe that with your technology, you could identify companies that are at this inflection point where they might want their government receivables monetized, and you can find them at scale. And that will allow you to source and analyze government receivables and actually turn it
20:52 Speaker 01 into an asset class which an institutional investor could invest in. So they anchored the strategy with 100 million, and initially it was just a fund of one, where we decided to see whether our tech team can actually build out an algorithm that would find these government receivables holders in any kind of predictable way. And when we found that they could, we built it out. We let in an additional 150 of new investors in early 2024. And we're on track to double the strategy size this year.
21:21 David Weisburd? One of the things that I'm very fascinated about, and I still haven't been able to crack is today, you're 29, you're, as I mentioned, you dropped out of Harvard. You got the prestigious Thiel Fellowship. We helped incubate a fund, the Thiel Fellowship. And I constantly meet people in their late teens, early twenties, that are able to be so extremely patient and build these 10, 20 year visions. Some common examples, Dylan from Figma, he didn't even launch until year five and he was in his teens. What makes it so that people at such a young age can think so long term? And what is it in your disposition or your peers' dispositions that allows you to do that?
22:04 Speaker 01 I think that the Thiel Fellowship selects for contrarians. When I was at Harvard, it was very obvious what the most prestigious thing to do was. And Christian, my co-founder, had an offer the summer that we did YC for literally the most prestigious thing a junior at Harvard could covet. And that was an internship at Bain Capital. And he ultimately did not do it. And every year that, in the early days, when we were basically making no money and working out of an office where the floors were slanted, we would think about that and Christian would be like, if I were at Bain Capital right now, I'd probably be making 180K.
22:46 Speaker 01 Oh, the next year, if I were at Bain Capital right now, I'd probably be making 300K. And every year that number would go up because when they entice you with the summer internship, they basically tell you how much money you will make at every year in your tenure at Bain Capital. A lot of respect to Bain Capital. They were very successful at recruiting impressionable undergrads. But I think ultimately, Christian and I are renegades. We like being outside of the establishment. So there is this interview of Roland Fryer by Bari Weiss. And Bari Weiss was asking him, "Why is it that you were able to do research and be ostracized by your peers for doing research that they didn't agree with?
23:31 Speaker 01 And you were still, you know, having a good time and being happy?" And Roland Fryer, who was one of my professors when I was at Harvard, he said, "It's because I do not covet what they covet." And I think a lot of Thiel fellows have that innate difference within them, which is that they do not covet what other people covet. It would have been so easy for Christian to take that Bain Capital internship and ride that train all the way. But he decided instead, "No, we're gonna forge our own path." And that desire to not go the route that everybody else has gone, not necessarily because you don't like it, but because you just don't want to be like everybody else.
24:14 Speaker 01 I think that that's common among a lot of Thiel fellows that I know.
24:19 David Weisburd? And do you find it a necessary condition that you must be a missionary, not a mercenary? In other words, you must covet the mission at expense of the financial incentive?
24:33 Speaker 01 A lot of Thiel fellows will tell you that there is a divergence in outcomes for Thiel fellows. Some Thiel fellows have missions or desires that very much align with financial success. And then there are other Thiel fellows, like I know this one Thiel fellow that has become like an astrology professional. And then I know another one that lives on a ranch in Montana. And those are not necessarily financial. They're just independent minded.
25:04 David Weisburd? What are you trying to say? What are you implying?
25:06 Speaker 01 I'm saying that if you're independent minded... Some people will choose paths of independence that happen to have financial success associated and other people will just be independent.
25:17 David Weisburd? Different roadways to heaven. Going back to when you started at 18, you dropped out of Harvard. What is one piece of timeless advice you wish you could go back and tell that younger Eva that would have either accelerated your success or helped avoid costly mistakes?
25:32 Speaker 01 A lot of the advice that I got back then, I was too dumb to listen to or to really understand. I remember in our slanted floor office, one of our billionaire hedge fund manager advisors came and visited us and he said, "The secret to my success is to hire great people and to retain them." And I was like, "Oh my God, this is the most cliche, trite piece of advice. This guy is so out of the game. He has no idea what made him successful." And it turns out that was the correct advice all along. It's just that I did not know how to listen to it at the time.
26:08 David Weisburd? Expand on that.
26:10 Speaker 01 The larger we get, the more I feel like the hiring and retention of great talent, it really is the secret to any enterprise's success, unless you're building like a consulting business that's just you personally. If you don't have team cohesion and great people on your team that are motivated to work hard, there's no way anything that's larger than just yourself can get off the ground.
26:31 David Weisburd? That's how we know that we're hiring somebody that's good is if we know even a small percentage of what they know about their domain, that's a very bad sign. But if they're able to reframe the questions that we ask them and either out contextualize or ask a better question than we were asking them to do, that's when we know. That's kind of that infinite game where you hire people and they kind of are building new roads for you that you didn't even know existed.
26:56 Speaker 01 Right, right, right. Exactly.
26:58 David Weisburd? This has been absolute masterclass. Thanks so much for jumping on the podcast and looking forward to sitting down and chatting live soon.
27:04 Speaker 01 Awesome. Thank you so much for having me.
27:06 David Weisburd? That's it for today's episode of How Invest. If this conversation gave you new insights or ideas, do me a quick favor. Share with one person in your network who'd find it valuable or leave a short review wherever you listen. This helps more investors discover the show and keeps us bringing you these conversations week after week. Thank you for your continued support.
Previous E251: Why 95% of Funds Don’t Pass LP Diligence w/Alex Edelson Next E253: How Great CIOs Think w/Bill Brown Page updated October 31, 2026 · transcript and summary are machine-generated