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Key Takeaways from LFJ’s Virtual Town Hall: Spotlight on AI & Technology

By John Freund |

On Thursday, February 27th, LFJ hosted a virtual town hall on AI and legal technology. The panel discussion featured Erik Bomans (EB), CEO of Deminor Recovery Services, Stewart Ackerly (SA), Director at Statera Capital, David Harper (DH), co-founder and CEO of Legal Intelligence, and Patrick Ip (PI), co-founder of Theo AI. The panel was hosted by Ted Farrell, founder of Litigation Funding Advisers.

Below are some key takeaways from the discussion:

Everyone reads about AI every day and how it’s disrupting this industry, being used here and being used there. So what I wanted to ask you all to talk about what is the use case for AI, specific to the litigation finance business?

PI: There are a couple of core use cases on our end that we hear folks use it for. One is a complementary approach to underwriting. So initial gut take as to what are potentially the case killers. So should I actually invest time in human underwriting to look at this case?

The second use case is a last check. So before we’re actually going into fund, obviously cases are fluid. They’re ever-evolving. They’re changing. So between the first pass and the last check, has anything changed that would stop us from actually doing the funding? And then the third more novel approach that we’ve gotten a lot of feedback

There are 270,000 new lawsuits filed a day. Generally speaking, in order to understand if this lawsuit has any merit, you have to read through all the cases. It’s very time consuming to do. Directionally, as an application, as an AI application, We can comb through all those documents. We can read all those emails. We can look through social and digest public information to say, hey, these are the cases that actually are most relevant to your fund. Instead of looking through 50 or 100 of these, these are the top 10 most relevant ones. And we send those to clients on a weekly basis. Interesting.

I don’t want you to give up your proprietary special sauce, but how are you all trying to leverage these tools to aid you and deliver the kind of returns that LPs want to see?

SA: We can make the most effective use of AI or other technologies – whether it’s at the very top of the funnel and what’s coming into the funnel, or whether it’s deeper down into the funnel of a case that we like – is that we try to find a way to leverage AI to complement our underwriting. We think about it a lot on the origination side just making us more efficient, letting us be able to sift through a larger number of cases more quickly and as effectively as if we had bodies to look through them all, but also to help us just find more cases that may be a potential fit.

In terms of kind of the data sources that you rely on. I think a question we always think about, especially for kind of early stage cases is, is there enough data available? For example, if there’s just a complaint on file, is that going to give you enough for AI to give you a meaningful result?

I think most of the people on this call would tell you duration is in a lot of ways the biggest risk that funders take. So what specific pieces of these cases is AI helping you drill down into, and how are you harnessing the leverage you can access with these tools?

DH: We, 18 months ago or so, in the beginning of our journey on this use case in law, were asked by a very, very big and very well respected personal injury business in the UK to help them make sense of 37,000 client files that they’d settled with insurers on non-fault motor accident.

And we ran some modeling. We created some data scientist assets, which were AI assets. And their view was, if we had more resources, we would do more of the following things. But we’re limited by the amount of people we’ve got and the amount we get per file to spend on delivering that file. So we developed some AI assets to investigate the nearly 40,000 cases, what the insurers across different jurisdictions and different circumstances settled on.

And we, in partnership with them, improved their settlement value by 8%. The impact that had on their EBITDA, etc. That’s on a firm level, right? That’s on a user case where a firm is actually using AI to perform a science task on their data to give them better predictive analysis. Because lawyers were erring on the side of caution. they would go on a lowball offer because of the impact of getting that wrong if it went to court after settlement. So I think for us, our conversations with financiers and law firms, alignment is key, right? So a funder wants to protect their capital and time – the longer things take, the longer your capital’s out, the potential lower returns.

AI can offer a lot of solutions for very specific problems and can be very useful and can reduce the cost of analyzing these cases, but predictive outcome analysis requires a lot of data. And so the problem is, where do you get the data from and how good is the data? How unstructured or structured are the data sets?

I think getting access to the data is one issue. The other one is the quality of the data, of course, that you put into the machine. If you put bad data in a machine, you might get some correlations, but what’s the relevance, right? And that’s the problem that we are facing.

So many cases are settled, you don’t know the outcome. And that’s why you still need the human component. We need doctors to train computers to analyze medical images. We need lawyers and people with litigation experience who can tell a computer whether this is a good case, whether this is a good settlement or a bad settlement. And in the end, if you don’t know it because it’s confidential, someone has to make a call on that. I’m afraid that’s what we have to do, right? Even one litigation fund or several litigation funders are not going to have enough data with settlements on the same type of claim to build a predictive analytical model on it.

And so you need to get massive amounts of data where some human elements, some coding is still going to be required, manual coding. And I think that’s a process that we’re going to have to go through.

You can view the full panel discussion here.

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John Freund

John Freund

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Pogust Goodhead Targets BHP in £1.3B Conspiracy

International plaintiffs’ firm Pogust Goodhead has opened a fresh front in the marathon litigation over the 2015 Fundão dam collapse, dispatching a pre-action letter that accuses BHP, Vale and their joint-venture Samarco of orchestrating an unlawful plot to sabotage the English proceedings.

Acting through U.S. counsel Orrick, the firm says the miners induced claimants to sign cut-price settlements in Brazil, interfered with existing retainers and weaponised redress programmes run by the Renova Foundation to starve the London group action of participants. Pogust Goodhead pegs its damages at more than £1.3 billion—roughly the fees and uplifts it stands to lose if the 620,000-strong claimant cohort is picked off piecemeal.

An article in Reuters says the firm will argue three causes of action—unlawful means conspiracy, inducement of breach of contract and enforcement of its equitable lien—and blames the defendants’ constitutional challenge in Brazil (ADPF 1178) and the proposed “Repactuação” mega-settlement for the intensified pressure campaign.

The pre-action salvo lands just months after the close of a 13-week liability trial against BHP in London; judgment is due later this year, with a quantum phase already on the docket for 2026. Separately, Vale and BHP confront contempt allegations for allegedly funding satellite litigation to derail municipal claims. Should the new claim proceed, the miners could face parallel exposure not only for compensatory payouts—estimated at up to £36 billion—but also for the law firm’s lost fees and financing costs, which Pogust Goodhead says now exceed $1 billion.

Uncorrelated Capital Debuts With $53M for Litigation Finance

By John Freund |

A new entrant has jumped into the U.S. legal-finance arena.

National Law Review reports that Uncorrelated Capital has closed a $53 million seed round, backed by a private-credit fund and a leading plaintiffs’ law firm. Founder Miles Cole—a two-time tech entrepreneur—says the firm will “invest alongside law firms as partners” rather than lend against fees, aligning incentives to “drive better outcomes for plaintiffs.” The firm has already deployed “tens of millions” across thousands of claims, including high-profile mass-tort dockets such as Camp Lejeune.

Uncorrelated’s thesis is to marry software and data analytics with long-duration capital, targeting “uncorrelated” return streams that behave independently of broader markets. Cole argues that litigation finance remains “underserved by technology” and plans to build proprietary tooling to vet cases, monitor portfolios and streamline reporting. The launch comes as institutional money continues to flow into alternative credit strategies and amid renewed regulatory scrutiny of third-party funding structures on Capitol Hill.

For the legal-funding industry, Uncorrelated’s arrival underscores two trends: first, that smaller, tech-forward managers can still raise meaningful capital despite the dominance of well-funded incumbent players; second, that plaintiff-side firms remain eager for non-recourse capital partners who can shoulder risk without dictating strategy. Whether Uncorrelated’s data-centric model will gain traction—or push incumbents to up their own tech game—bears watching. Future fundraising rounds and case wins will reveal if the firm’s “software-first” pitch delivers outsized returns or simply adds another niche player to an increasingly crowded field.

LFJ Podcast: Stuart Hills and Guy Nielson, Co-Founders of RiverFleet

By John Freund |

In this episode, we sat down with Stuart Hills and Guy Nielson, co-founders of RiverFleet, a consultancy business specialising in the global Legal Finance market.  

RiverFleet works with clients to help navigate the complexities and idiosyncratic characteristics of the Legal Finance market and make the most of the financial opportunities and risk solutions the market has to offer for business and investment. 

RiverFleet has a highly experienced team, with specialist litigation, finance and structuring, and investment and portfolio management expertise.  They offer a broad range of legal finance services tailor-made for a global client base, including investors, litigation finance funds, claimants, corporates, insolvency practitioners and law firms.

Watch the episode below:

https://www.youtube.com/watch?v=qb1ef7ZhgVw