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New research shows companies with large claims recover more and preserve budgets by using legal finance as part of their class action opt out strategies

Burford Capital, the leading global finance and asset management firm focused on law, today releases new independent research demonstrating the value of legal finance for companies with valuable commercial class action claims. In recent years, Burford has seen an increasing number of major corporations choosing to opt out of class action lawsuits to pursue high value claims individually and has commissioned independent research to examine the trend in greater depth.

Although companies are currently still more likely to remain in the class than they are to opt out, the research reveals that their reasons for doing so are economic—and solvable with legal finance, which de-risks the choice to opt out and provides a clear benefit to corporations with high value claims. As most legal finance is non-recourse, companies can receive risk-free funding to pursue meritorious claims as individual plaintiffs, as well as to accelerate the often-significant value represented by pending claims.

Given the results of the research, Burford expects the trend toward opt outs will continue, with major companies choosing to rethink their opt out strategies with legal finance.

Christopher Bogart, CEO of Burford Capital, said: “Burford’s independent research on commercial class actions demonstrates the clear benefit that legal finance provides to companies with significant claims. If you’re a GC and you have a claim that’s big enough to merit opting out, you should, because you’ll recover more, and you can do so without budget implications by using legal finance capital. Further, your competitors who are already using legal finance are opting out three times more often. As a former GC, I recognize the importance of maintaining control and maximizing returns in litigation, and Burford works with many GCs to use legal finance to reduce risk, maintain greater control and enhance the likelihood of achieving greater recoveries.”

Key findings from the research include:

  • Use of legal finance correlates to opting out.
    • Use of legal finance is 3x likelier among companies that mostly/always opt out vs. companies that mostly/always remain in the class, and 2x likelier than all companies.
  • Companies’ top reasons for opting out are maintaining control and maximizing return.
    • The #1 reason large company GCs opt out is their fiduciary duty to maximize recoveries to their company.
  • Companies’ top reasons to stay in the class are economic.
    • Not being able to justify the cost of pursuing an opt out claim (64%) and not having the budget to do so (61%) are the top 2 reasons companies remain in the class.
    • Legal finance ameliorates both cost and budget constraints.
  • GCs say the availability of legal finance would impact their opt out strategy.
    • 1 of 2 (52%) say that while they have not used legal finance, its availability would positively impact the decision to opt out. 

The Report on Class Action Recoveries can be downloaded on Burford’s website, where full results are also available. The research report was conducted in June 2022 by GLG via an online survey, with responses from 150 US GCs, heads of litigation and other senior in-house lawyers responsible for their companies’ commercial litigation.

About Burford Capital

Burford Capital is the leading global finance and asset management firm focused on law. Its businesses include litigation finance and risk management, asset recovery and a wide range of legal finance and advisory activities. Burford is publicly traded on the New York Stock Exchange (NYSE: BUR) and the London Stock Exchange (LSE: BUR), and it works with companies and law firms around the world from its principal offices in New York, London, Chicago, Washington, DC, Singapore, Sydney and Hong Kong.

For more information, please visit www.burfordcapital.com.

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Commercial Regulatory Issues

Georgia Senate Unanimously Approves Governor’s Litigation Funding Bill

By Harry Moran and 4 others |

As LFJ reported last week, momentum continues to build behind state-level legislative proposals that seek to impose new rules governing the use of third-party litigation funding in the U.S. 

Reporting by the AP covers a new development in the Georgia state legislature, where the Senate has unanimously passed the second part of Gov. Brian Kemp’s legislative package aimed at tort reform and third-party litigation funding. Senate Bill 69, which passed the Senate last Thursday with 52 Yea votes, amends state law to include new provisions governing the involvement of litigation funders.

SB 69 requires third-party funders register with Georgia’s Department of Banking and Finance, as well as prohibiting any foreign individuals or organisation from funding litigation in the state. The bill also sets out disclosure requirements for cases where a litigation funding agreement is present and puts in place restrictions on a funder’s ability to control the litigation process.

Senate President Pro Tem John Kennedy, a sponsor of the bill, said that SB 69  “combats the growing foreign influence” in Georgia lawsuits, and argued that the new rules contained within the bill act as a “consumer protection measure”. The Georgia Trial Lawyers Association, which opposes these attempts at reform, stated that there is “still work to be done to ensure SB 69 fairly addresses its intended purpose”. 

SB 69 will now join SB 68, the part of Gov. Kemp’s package that primarily deals with tort reform, to be debated in the House and scrutinised by a bi-partisan subcommittee convened by House Rules Committee Chairman Butch Parrish. 

The full text and status of Senate Bill 69 can be accessed on the Georgia General Assembly website.

Case Developments Commercial

LCM Announces Filing of Appeal in Australian Energy Class Action

By Harry Moran and 4 others |

As LFJ reported in December 2024, an Australian class action funded by Litigation Capital Management (LCM) had received an unfavourable ruling in the Federal Court of Australia, with the judge ruling against the claim brought over claims that two government-owned entities engaged in market manipulation to create an artificially scarce supply and raise prices.

An announcement from LCM revealed that an appeal has been filed in the class action brought on behalf of Queensland consumers against the Stanwell Corporation LTD and CS Energy LTD. The funder’s brief announcement suggested that further details around the appeal would be released in due course, stating: “We look forward to engaging further with investors after our interim results have been published on 18 March 2025.“

In LCM’s release following the December ruling, CEO Patrick Moloney had said that their “expectation has always been that an appeal in this case was likely, regardless of the initial outcome” and that they “remain confident in the strength of the underlying claim.” The previous announcement also included a top-line overview of LCM’s involvement in the case, disclosing that the funder had provided A$25m in funding from its own balance sheet capital to support the class action.

The first instance judgment from Justice Dennington in the case of Stillwater Pastoral Company Pty Ltd v Stanwell Corporation Ltd can be read here.

Commercial Special Features

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

By John Freund and 4 others |

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 Advisors.

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.