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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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Federal Court Approves $180m Settlement in Northern Territory Stolen Wages Class Action

By Harry Moran |

The combined strength of experienced law firms and well-resourced litigation funders can be a powerful tool for disadvantaged communities seeking justice and compensation from state authorities. However, a recent settlement approval order in Australia was notable for the judge’s pointed questioning of the commercial business model behind these class actions, which sees law firms and funders receive significant payments whilst the victims they represent receive comparatively meagre compensation.

An article in ABC News covers the approval of a $180 million settlement in the Northern Territory stolen wages class action, bringing to an end the claim brought against the Commonwealth of Australia over historic mistreatment of Aboriginal workers in the Northern Territory between 1933 and 1971. Whilst Chief Justice Debra Mortimer approved the settlement along with the related payouts to Shine Lawyers and LLS Fund Services for the claimants, her written judgment raised many questions about the costs accumulated by the legal team and the relatively low value of compensation that the workers would receive.

The judgment approved payments of up to $15 million to Shine Lawyers for legal costs, and a funder’s commission of up to $31.5 million to LLS Fund Services. However, Chief Justice Mortimer’s judgment also contained criticism for both these parties, stating that their “good intentions” in supporting the claimants has been somewhat overshadowed by “the pursuit of the business model”. Mortimer expressed doubt that Aboriginal and Torres Strait Islander communities would “see much social justice” in an outcome where these “city based non-indigenous participants in this proceeding come out with so much money compared to their family and friends.”

The settlement in the Northern Territory lawsuit is the latest in a series of similar class actions brought against the Australian state, with previous settlements having been reached with the Western Australia and Queensland state governments.

The full judgment from Chief Justice Mortimer in McDonald v Commonwealth of Australia can be read here.

Community Spotlights

Community Spotlight: Nick Tsacoyeanes, Managing Director & Counsel, Blue Sky Advisors

By John Freund |

Nick Tsacoyeanes is a founding partner of Blue Sky Advisors and serves as a Managing Director & Counsel at the firm. Nick has spent his career working closely with pension funds, mutual funds, hedge funds and other institutional investors as an attorney and investment consultant.  

Company Name and Description: Blue Sky Advisors is a consulting firm that works with institutional investors and others in the capital markets to address corporate misconduct and serious governance failures. 

The firm provides clients with research into corporate misconduct and a variety of related consulting services. The team includes former securities litigators, chief investment officers, governance experts, litigation consultants and top officials at large state pension funds. 

Blue Sky monitors global stock markets and court dockets daily to detect corporate misconduct that may impact capital markets—often before litigation is filed. This includes material securities devaluations linked to alleged misconduct, significant government and regulatory actions, and newly filed or developing securities fraud cases.

Blue Sky Advisors’ subscriber list includes pension funds, mutual funds, hedge funds, AmLaw 100 law firms, boutique litigation firms, accounting firms, insurance companies as well as a variety of other institutional investors. 

Please contact Nick Tsacoyeanes at ntsacoyeanes@blueskyadvise.com to learn more about Blue Sky’s research and consulting services.

Company Website: www.blueskyadvise.com

Year Founded: 2022

Headquarters: Boston, MA

Key Takeaways from LFJ’s Virtual Town Hall: Spotlight on Patents & Trade Secrets

By John Freund |

On Thursday, April 17th, LFJ hosted a virtual town hall featuring key stakeholders in the legal funding for patents and trade secrets markets. The panel featured Anup Misra (AM), Managing Director of IP at Curiam, Robin Davis (RD), Director at Fortress Investment Group, Erick Robinson (ER), Partner and Co-Chair of the PTAB Practice Group at Brown Rudnick, and Scott Davis (SD), Partner at Klarquist Sparkman. The panel was moderated by Salumeh Loesch (SL), Founder at Loesch Patents, LLC.

Below are key takeaways from the panel discussion:

Do you feel like in the litigation world generally, that there is a greater interest in trade secret enforcement and litigation just because of the difficulties with patent enforcement? Do you feel like there's a growing interest from the funder's perspective to fund trade secret cases?

AM: I think every funder is going to be a little bit different on how interested they are in trade secrets litigation. Just to be perfectly candid, for example, Curium has not typically been as interested in this because collectively in our practices and in funding, we haven't had the best experiences with trade secret cases. Other funders, though, probably love trade secret cases.

Now, that's not to say we won't do them. And we certainly see more of them. And we're certainly seeing a lot more sort of combo trade secret / patent litigation, which I think is extremely interesting for funders. And if you can manage that, it really puts your case on the upper shelf of what funders are going to consider.

I want to get a sense of how we should consider the multijurisdictional approach in the patent context and how this applies when you're seeking funding?

RD: Obviously, if you have patents in multiple jurisdictions, the US, Europe, beyond, that is a real asset and obviously something you should be bringing to the attention of a litigation funder if you're seeking investment in your case. The key is going to be to make sure that whatever international strategy you're considering is one that takes advantage of the various strengths and differences between different forums around the world.

For instance, many people have always enjoyed filing in the US because there's the potential for large damages awards. However, US district court litigation, especially with the advent of stays for IPRs, can be slow depending on where you're litigating. There are faster forums in other parts of the world; Germany has long been considered a favorite in that regard. And with the advent of the UPC, the Unified Patent Court, which is now in many of the EU member states, this gives you both a faster timeline to a resolution and a much bigger market now that you've got multiple EU member states that are all able to be adjudicated in a single proceeding.

What are your thoughts on the impact of that [PTAB rule changes], in terms of the changes to the types of cases that may potentially arise in both patent litigation and patent litigation funding.

SD: Discretionary denials are increasing. Just in our own practice, we've seen a dramatic change very quickly on that. And I think that's going to continue as a trend for some time, at least until folks filing petitions figure it out as far as what the rules are and as far as what the standards are and what factors are weighed most heavily in the analysis in order to basically present the best argument they can to keep their petition on track.

Certainly in the short term, discretionary denial is a real thing and it's surging. So there's an opportunity to take advantage of that while the rules shake out and both litigants and the board are trying to adapt and adjust to the new reality.

Do you have any tips for how companies can protect their trade secrets but still obtain litigation funding?

ER: My first advice to companies is to have a trade secret management system. That can be as complicated as having an entire software suite. That can be as simple as having a spreadsheet that has trade secret, date, who came up with it, and additional details.

That actually feeds into the real answer, which is you need to know what the trade secret is. Once you know what the trade secret is, things get easier. And that's easier said than done. I've been in cases where nobody really knew what the trade secret was until throttle, which is what makes it crazy. The good news is that damages are a lot more flexible, for instance, in the patent world; you can get actual losses, you can get unjust enrichment, you can get reasonable royalty, you can get punitive damages. There's just a much broader system of damages.

To view the entire discussion, please click here.