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

By John Freund |

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

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

Commercial

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UK Government Signals Funding Crackdown in Claims Sector Reform

By John Freund |

The UK government has signalled a renewed regulatory focus on the claims management and litigation funding sectors, as part of a broader effort to curb what it characterises as excessive or speculative claims activity. The move forms part of a wider review of the consumer redress and claims ecosystem, with third-party funding increasingly drawn into policy discussions around cost, transparency, and accountability.

An article in Solicitor News reports that ministers are examining whether litigation funding and related financial arrangements are contributing to an imbalance in the claims market, particularly in mass claims and collective redress actions. While litigation funding has historically operated outside the scope of formal regulation in England and Wales, policymakers are now considering whether additional oversight is required to protect consumers and defendants alike. This includes potential scrutiny of funding agreements, funder returns, and the role of intermediaries operating between claimants, law firms, and capital providers.

The renewed attention comes amid political pressure to rein in what critics describe as a growing “claims culture,” with the government keen to demonstrate action ahead of future legislative reforms. Industry stakeholders have cautioned, however, that overly restrictive measures could limit access to justice, particularly in complex or high-cost litigation where claimants would otherwise be unable to pursue meritorious claims. Litigation funders have long argued that their capital plays a stabilising role by absorbing risk and enabling legal representation in cases involving significant power imbalances.

While no formal proposals have yet been published, the article suggests that funding models linked to claims management companies may face particular scrutiny, especially where aggressive marketing or fee structures are perceived to undermine consumer interests. Any regulatory changes would likely build on existing reforms affecting claims management firms and contingency-style legal services.

Litigation Lending Funds Woolworths Shareholder Class Action

By John Freund |

Litigation Lending Services Limited has agreed to fund a large-scale shareholder class action against Woolworths Group Ltd, adding another high-profile Australian securities claim to the growing docket of funded investor litigation. The proceeding has been filed in the Federal Court of Australia by Dutton Law and focuses on Woolworths’ alleged failure to properly disclose the financial impact of widespread employee underpayments over a lengthy period.

Litigation Lending's website notes that the claim covers shareholders who acquired Woolworths shares between 26 February 2010 and 8 September 2025. It alleges that Woolworths did not adequately record and account for employee entitlements owed to salaried staff, resulting in financial statements that understated expenses and overstated profits. According to the pleadings, these accounting issues had the effect of artificially inflating Woolworths’ share price, causing losses to investors once the extent of the underpayments began to emerge through company disclosures.

Woolworths has previously acknowledged underpayment issues across its workforce, announcing remediation programs and provisions running into the hundreds of millions of dollars. The class action contends that the company’s disclosures came too late and failed to provide the market with an accurate picture of its true financial position during the relevant period. Investors who purchased shares while the alleged misstatements were in place are now seeking compensation for losses suffered when the share price adjusted.

Participation in the class action is open to eligible shareholders on a no-cost basis, with Litigation Lending covering the legal costs of running the claim. Any funding commission or reimbursement payable to the funder would be subject to approval by the court, consistent with Australia’s regulatory framework for funded class actions.

Federal Legislation Targeting Foreign Litigation Funders Raises Industry Alarm

By John Freund |

A new federal bill seeking to restrict foreign investment in U.S. litigation is drawing sharp criticism from international litigation funders who warn the measure could significantly disrupt the industry. The legislation, introduced by Rep. Ben Cline (R-Va.), would prohibit sovereign wealth funds from backing U.S. lawsuits and impose disclosure requirements on overseas investors participating in American litigation.

According to Bloomberg Law, the proposed bill (H.R. 2675) has major implications for prominent funders including Burford Capital, Fortress Investment Group, Omni Bridgeway, Ares Management, and BlackRock. Susan Dunn of UK-based Harbour Litigation Funding characterized the current political climate as increasingly "anti-foreign," suggesting that international funders are now reassessing their U.S. growth strategies in light of the legislative push.

The bill advanced from the House Judiciary Committee with a 15-11 vote in favor of recommending it to the full House. Supporters of the legislation argue that foreign investment in U.S. litigation raises national security concerns and could allow hostile nations to influence American legal proceedings. Critics counter that the measure unfairly targets legitimate business practices and could reduce access to justice by limiting available capital for plaintiffs pursuing meritorious claims.

The legislation represents the latest effort in a years-long campaign by insurance industry groups and business organizations to increase regulation of third-party litigation funding. If enacted, the restrictions on foreign investment could reshape the competitive landscape of the U.S. litigation finance market, where international funders currently play a significant role.