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Key Takeaways from LFJ’s Special Digital Event: Insights from New Entrants into Litigation Funding

Key Takeaways from LFJ’s Special Digital Event: Insights from New Entrants into Litigation Funding

On Wednesday, December 15th, Litigation Finance Journal hosted a special digital event featuring insights from new entrants into litigation funding. A panel featuring Charles Schmerler (CS), Senior Managing Director of Pretium Partners, Zachary Krug (ZK), Director of Signal Capital Partners, and Mark Wells (MW), Co-Founder of Almatura, discussed deal sourcing fundraising and hiring from a new entrant’s perspective.  Below are some key takeaways from the panel discussion, which was moderated by Ed Truant, founder of Slingshot Capital: Broadly speaking, how do you view the current investor landscape for fundraising in the jurisdiction in which you’re involved? Also, what sort of goals do LPs have when approaching the litigation finance space, and how should new entrants into the space prepare when speaking to prospective investors? MW: Our first fundraise really was a slow burn between 2008 – 2010 when we closed the first fund. You’ll remember when we arrived in the market then, pretty much everyone was a first time manager. There was very little in the way of seasoned product, or to say nothing of the type fund 2 fund 3 type of opportunities. So the investors who were attracted in those days were the pioneering investors and they really had no choice but to commit themselves to first time managers. I think if we fast forward to 2021, it’s a much more mixed environment. There’s a lot more players. My experience is mainly on the European side, but I understand this is also true on the west side. And a number of the players have now matured and are on fund 3, fund 4, fund 5, so investors are presented with a more complete offering ranging from first time managers all the way through to repeat managers. ZK: In some respects, I think the high returns that are uncorrelated to the market remains, and is even a stronger factor in terms of investor appetite, particularly when you look at a landscape where many asset classes are at historically high valuations and it’s difficult to achieve the kind of multiple style returns that you can potentially achieve in litigation funding. So I think that attraction remains there and is quite strong. I think the difficulty for anyone who’s trying to raise money, there’s certainly a lot of money out there, and interest—but the difficulty is, if you’re a new entrant without a track record, you may be an excellent litigator with a long track record of trial victories, but I think without a track record of successful realizations, it can be difficult. Given the asset class and how it performs, it takes a while to develop a track record that’s worth anything because of the long tail risk in these assets. CS: My advice at first was ‘don’t try to raise a lot of money at the beginning of a global pandemic.’ But once you get past that, I think these are key points. Mark touched on something important in that there’s been a significant change in the way investors are able to approach the asset class from the way it was ten years ago. There’s much more data available right now. It’s not a mature industry yet, but there is empirical data out there. So investors are able to diligence this very carefully and they have a number of choices, there are a lot of players as Mark and Zach said. So I think anyone who is looking to raise capital has to be extremely well prepared. Let’s turn our attention toward deal sourcing. Where are you currently originating deals from, and to the extent that you’re willing and able to respond—what methods have you tried and what have yielded the best and worst results? MW: I think we’d say probably four channels of deal flow, the most important deals are from lawyers, and then the other sources would be claimants coming to us direct typically via advertising, LinkedIn, Google, media mentions, stuff like that. And then brokers and intermediaries; both specialist brokers and some of the ad hoc intermediaries. ZK: Mark hit on the key channels from my perspective. I do think it remains very much a relationship driven business, and in terms of what works and what doesn’t work. There is, I think in terms of the lawyers and even the brokers and intermediaries, and I suppose with the funders as well, an aspect where there’s a fair amount of relationship building, business development, what have you, that’s important to maintain those relationships. Let’s shift into a different topic: Hiring. How do you think about organizational design for your firms in terms of a combination of finance, legal, quants type of expertise. Mark, how do you tackle that, historically? MW: Yeah, that’s interesting how you list the financing and the legal and quantitative skills. I think I’d add one more characteristic which can really cut across all those disciplines—and that’s factual curiosity and factual inspection. In our experience over the years, when we look back and look very long and hard about why we lose cases., often it’s singular one-off factors. Something that we get a few times is that we lost the case because the facts that were eventually found deviated from what we’d assume when we were underwriting the case. I think really probing the facts and thinking about what can fill in any blanks in the claimant’s narrative is a really important part of the picture that needs to apply to everyone involved in underwriting the cases. ZK: It’s an interesting question, one that I’m grappling with as we speak, as a relatively new strategy within what is otherwise a very quantitative and numbers-driven organization. My experience is that most litigation funders are staffed by ex-litigators or have many lawyers on staff. They tend to bring that litigation mindset with them, which obviously is important from an underwriting and diligence perspective. But often when you put a bunch of litigators into a room to discuss a case, we can be very good at identifying the risks of what could go wrong, but less good at being creative about how to structure for those risks or to price for those risks, or be willing to take those risks. So my sense in terms of organization and hiring is—it’ll be more important to find folks who are creative about deal structuring and pricing more than simply smart lawyers. It’s more important to have that commercial acumen. Charles, can you comment about what the market for talent is like at the moment and what’s the general professional background that you’re seeing from some of your hires? CS: This feeds off the discussion you were just having with Mark and Zach. The market is good, there is always opportunity to find smart capable lawyers. We have a lot of analysts and quantitative people at the firm already. So we are less in need of hiring those. But I think you already touched on what is the ongoing debate—which is, where should you focus your energies? Should it be on the analytical side, the financial analytical side, or the legal side? We find that you can hire—but the question is: What’s the best way to go about hiring? So for us, we are looking more for people who are not just creative in structuring, but who understand how to recognize value. And that can mean different things in different contexts. For example, we have a particularly strong patent team. Between our two senior-most people, only one is a lawyer. Both have extensive experience monetizing patents over decades, and they understand how to assess the value of a portfolio in ways that most other people cannot.
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A Framework for Measuring Tech ROI in Litigation Finance

This article was contributed by Ankita Mehta, Founder, Lexity.ai - a platform that helps litigation funds automate deal execution and prove ROI.

How do litigation funders truly quantify the return on investment from adopting new technologies? It’s the defining question for any CEO, CTO or internal champion. The potential is compelling: for context, according to litigation funders using Lexity’s AI-powered workflows, ROI figures of up to 285% have been reported.

The challenge is that the cost of doing nothing is invisible. Manual processes, analyst burnout, and missed deals rarely appear on a balance sheet — but they quietly erode yield every quarter.

You can’t manage what you can’t measure. This article introduces a pragmatic framework for quantifying the true value of adopting technology solutions, replacing ‘low-value’ manual tasks and processes with AI and freeing up human capital to focus on ‘high-value’ activities that drive bottom line results  .

A Pragmatic Framework for Measuring AI ROI

A proper ROI calculation goes beyond simple time savings. It captures two distinct categories:

  1. Direct Cost Savings – what you save
  2. Increased Value Generation – what you gain

The ‘Cost’ Side (What You Save)

This is the most straightforward calculation, focused on eliminating “grunt work” and mitigating errors.

Metric 1: Direct Time Savings — Eliminating Manual Bottlenecks 

Start by auditing a single, high-cost bottleneck. For many funds, this is the Preliminary Case Assessment, a process that often takes two to three days of an expert analyst's time.

The calculation here is straightforward. By multiplying the hours saved per case by the analyst's blended cost and the number of cases reviewed, a fund can reveal a significant hard-dollar saving each month.

Consider a fund reviewing 20 cases per month. If a 2-day manual assessment can be cut to 4 hours using an AI-powered workflow, the fund reallocates hundreds of analyst-hours every month. That time is now moved from low-value data entry to high-value judgment and risk analysis.

Metric 2: Cost of Inconsistent Risk — Reducing Subjectivity 

This metric is more complex but just as critical. How much time is spent fixing inconsistent or error-prone reviews? More importantly, what is the financial impact of a bad deal slipping through screening, or a good deal being rejected because of a rushed, subjective review?

Lexity’s workflows standardise evaluation criteria and accelerate document/data extraction, converting subjective evaluations into consistent, auditable outputs. This reduces rework costs and helps mitigate hidden costs of human error in portfolio selection.

The ‘Benefit’ Side (What You Gain)

This is where the true strategic upside lies. It’s not just about saving time—it’s about reinvesting that time into higher-value activities that grow the fund.

Metric 3: Increased Deal Capacity — Scaling Without Headcount Growth

What if your team could analyze more deals with the same staff? Time saved from automation becomes time reallocated to new higher value opportunities, dramatically increasing the value of human contributions.

One of the funds working with Lexity have reported a 2x to 3x increase in deal review capacity without a corresponding increase in overhead. 

Metric 4: Cost of Capital Drag — Reducing Duration Risk 

Every month a case extends beyond its expected closing, that capital is locked up. It is "dead" capital that could have been redeployed into new, IRR-generating opportunities.

By reducing evaluation bottlenecks and creating more accurate baseline timelines from inception, a disciplined workflow accelerates the entire pipeline. 

This figure can be quantified by considering the amount of capital locked up, the fund's cost of capital, and the length of the delay. This conceptual model turns a vague risk ("duration risk") into a hard number that a fund can actively manage and reduce.

An ROI Model Is Useless Without Adoption

Even the most elegant ROI model is meaningless if the team won't use the solution. This is how expensive technology becomes "shelf-ware."

Successful adoption is not about the technology; it's about the process. It starts by:

  1. Establish Clear Goals and Identify Key Stakeholders: Set measurable goals and a baseline. Identify stakeholders, especially the teams performing the manual tasks- they will be the first to validate efficiency gains.
  2. Targeting "Grunt Work," Not "Judgment": Ask “What repetitive task steals time from real analysis?” The goal is to augment your experts, not replace them.
  3. Starting with One Problem: Don't try to "implement AI." Solve one high-value bottleneck, like Preliminary Case Assessment. Prove the value, then expand. 
  4. Focusing on Process Fit: The right technology enhances your workflow; it doesn’t complicate it.

Conclusion: From Calculation to Confidence

A high ROI isn't a vague projection; it’s what happens when a disciplined process meets intelligent automation.

By starting to measure what truly matters—reallocated hours, deal capacity, and capital drag—fund managers can turn ROI from a spreadsheet abstraction into a tangible, strategic advantage.

By Ankita Mehta Founder, Lexity.ai — a platform that helps litigation funds automate deal execution and prove ROI.

Burford Capital’s $35 M Antitrust Funding Claim Deemed Unsecured

By John Freund |

In a recent ruling, Burford Capital suffered a significant setback when a U.S. bankruptcy court determined that its funding agreement was not secured status.

According to an article from JD Journal, Burford had backed antitrust claims brought by Harvest Sherwood, a food distributor that filed for bankruptcy in May 2025, via a 2022 financing agreement. The capital advance was tied to potential claims worth about US$1.1 billion in damages against meat‑industry defendants.

What mattered most for Burford’s recovery strategy was its effort to treat the agreement as a loan with first‑priority rights. The court, however, ruled the deal lacked essential elements required to create a lien, trust or other secured interest. Instead, the funding was classified as an unsecured claim, meaning Burford now joins the queue of general creditors rather than enjoying priority over secured lenders.

The decision carries major consequences. Unsecured claims typically face a much lower likelihood of full recovery, especially in estates loaded with secured debt. Here, key assets of the bankrupt estate consist of the antitrust actions themselves, and secured creditors such as JPM Chase continue to dominate the repayment waterfall. The ruling also casts a spotlight on how litigation‑funding agreements should be structured and negotiated when bankruptcy risk is present. Funders who assumed they could elevate their status via contractual design may now face greater caution and risk.

Manolete Partners PLC Posts Flat H1 as UK Insolvency Funding Opportunity Grows

By John Freund |

The UK‑listed litigation funder Manolete Partners PLC has released its interim financial results for the half‑year ended 30 September 2025, revealing a stable but subdued performance amid an expanding insolvency funding opportunity.

According to the company announcement, total revenue fell to £12.7 million (down 12 % from £14.4 million a year earlier), while realised revenue slipped to £14.0 million (down 7 % from £15.0 million). Operating profit dropped sharply to £0.1 million, compared to £0.7 million in the prior period—though excluding fair value write‑downs tied to the company’s truck‑cartel portfolio, underlying profit stood at £2.0 million.

The business completed 146 cases during the period (up 7 % year‑on‑year) and signed 146 new case investments (up nearly 16 %). Live cases rose to 446 from 413 a year earlier, and the total estimated settlement value of new cases signed in the period was claimed to be 31 % ahead of the prior year. Cash receipts were flat at about £14.5 million, while net debt improved to £10.8 million (down from £11.9 million). The company’s cash balance nearly doubled to £1.1 million.

In its commentary, Manolete emphasises the buoyant UK insolvency backdrop — particularly the rise of Creditors’ Voluntary Liquidations and HMRC‑driven petitions — as a tailwind for growth. However, the board notes the first half was impacted by a lower‑than‑average settlement value and a “quiet summer”, though trading picked up in September and October. The firm remains confident of stronger average settlement values and a weighting of realised revenues toward the second half of the year.