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Key Takeaways from LFJ’s Digital Event: Legal Tech and LitFin

December 7, 2023

Key Takeaways from LFJ’s Digital Event: Legal Tech and LitFin

On December 6th, 2023, Litigation Finance Journal produced its final event of the year: Legal Tech and LitFin: How Will Tech Impact Litigation Finance Globally? Tets Ishikawa moderated an insightful and pertinent discussion on the use of legal tech in the litigation finance industry. Panelists included Nick Rowles-Davies (NRD), Founder of Lexolent, Isabel Yang (IY), Founder of Arbilex, and Joshua Masia (JM), Co-Founder and CEO of Dealbridge.ai. Below are some key takeaways from the event (answers have been truncated for the purpose of this article): Legal tech is quite a broad term.  What does the legal tech landscape mean to you, and how does it fit into your business? IY: We’re in a very exciting time in legal tech. Where I sit, I primarily deal with the underlying technology being artificial intelligence (AI). The primary advances in advanced AI have primarily occurred out of language being the source data. A lot of these text-based AI advancements all hold great significance for the practice of law. At Arbilex, we are taking advantage of large language modeling (LLM) to reduce the cost of data acquisition. When we take court briefings and unstructured data and try to turn that into structured data, the cost of that process has dramatically decreased, because of Chat GPT and the latest LLMs. On the flipside, because AI has become so advanced, a lot of off-the-shelf solutions have tended towards a black box solution. So the model’s output has become a more challenging task. At Arbilex, we have always focused on building the most stable AI—so we focus on how we can explain a particular prediction to our clients. We are increasingly investing a lot of our time and human capital into building that bridge between AI and that use case. How relevant has legal tech been, and will it be, in the growth of the litigation finance sector?  JM: When we look at scaling operational processes, a lot of times we have to put our traditional computer science hat on and ask, ‘how have we historically solved these problems and what has changed in the past several years to evolve this landscape?’ A lot of the emphasis with technology has been about normalizing and standardizing how we look at these data sets. There’s a big issue when you look at this approach and what existing platforms have been doing—this is a very human business. Because of that, there’s a lot of ad hoc requests that get mixed in. So what gen-AI is doing, we’re getting to a point where you don’t have to over-structure your sales or diligence process. Maybe the first few dozen questions you’re asking of a given data set are the same, but eventually we want to be able to ask questions that are specific to this deal. So being able to call audibles and ad-hoc analysis of data sets was really hard to do before the addition of generative AI. NRD: Legal tech is becoming increasingly relevant, but the real effect and usefulness has grown over time. It makes repetitive tasks easier, and provides insights that are not always readily apparent. But in terms of the specific use of AI to triage outcoming matters, we identify matters in different areas—is this something we simply aren’t going to assess, will it be sent back for further information, does it fit the bucket of something we would fund per our original mandate, or does it go on the platform for the purpose of others to look at and invest in that particular matter. AI is having an increasing impact and is being used with more regularity by litigation funders who are funding they can increase efficiency and get to a ‘yes’ much more quickly. A lot of lawyers would say, this is fascinating, but ultimately this is a human industry. Every circumstance will be different, because they will come down to the behaviors of human beings in that time. Is there a way that AI can capture behavioral dynamics? IY: In general, we need to have realistic expectations of AI. That comes from, what humans are uniquely good at are not necessarily the things that AI is good at. AI is really good at pattern-spotting. Meaning, if I train the model to look for recurring features of particular cases—say, specific judges in specific jurisdictions, when coming up against a specific type of argument or case—then AI in general has a very good ability to assign the weighting to a particular attribute in a way that humans instinctively can come to the same place, you can’t really quantify the impact or magnitude of a specific attribute. The other thing that we need to be realistic about, is that cases are decided not just on pattern, but on case-specific fact attributes (credibility of a witness, availability of key evidence). If you train AI to look for things that are so specific to one case, you end up overfitting the model, meaning your AI is so good at looking for one specific variable, that it loses it general predictive power over a large pool of cases. What I would caution attorneys, is use AI to get a second opinion on things you believe are a pattern. In arbitration, attorneys might use AI on tribunal matters—tribunal composition. AI models are way better at honing in on patterns—but things like ‘do we want to produce this witness vs. another witness,’ that is not something we should expect AI to predict. For the full panel discussion, please click here.

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Avoiding Pitfalls as Litigation Finance Takes Off

By John Freund |

The litigation finance market is poised for significant activity in 2026 after a period of uncertainty in 2025. A recent JD Supra analysis outlines key challenges that can derail deals in this evolving space and offers guidance on how industry participants can navigate them effectively.

The article explains that litigation finance sits at the intersection of law and finance and presents unique deal complexities that differ from other private credit or investment structures. While these transactions can deliver attractive returns for capital providers, they also carry risks that often cause deals to collapse if not properly managed.

A central theme in the analysis is that many deals fail for three primary reasons: a lack of trust between the parties, misunderstandings around deal terms, and the impact of time. Term sheets typically outline economic and non-economic terms but may omit finer details, leading to confusion if not addressed early. As the diligence and documentation process unfolds, delays and surprises can erode confidence and derail negotiations.

To counter these pitfalls, the piece stresses the importance of building trust from the outset. Transparent communication and good-faith behavior by both the financed party and the funder help foster long-term goodwill. The financed party is encouraged to disclose known weaknesses in the claim early, while funders are urged to present clear economic models and highlight potential sticking points so that expectations align.

Another key recommendation is ensuring all parties fully understand deal terms. Because litigation funding recipients may not regularly engage in such transactions, well-developed term sheets and upfront discussions about obligations like reporting, reimbursements, and cooperation in the underlying litigation can prevent later misunderstandings.

The analysis also underscores that time kills deals. Prolonged negotiations or sluggish responses during diligence can sap momentum and lead parties to lose interest. Setting realistic timelines and communicating clearly about responsibilities and deadlines can keep transactions on track.

Commercial Regulatory Issues

Labour MP Comes Out Swinging Against Litigation Funding

By John Freund |

Litigation funding has become a fixture in modern civil justice systems, designed to open the courts to claimants who lack the means to pursue meritorious claims. But a recent opinion piece by Labour MP Oliver Ryan argues that in the UK, the industry is increasingly drifting from that core purpose and instead serving the financial interests of investors and funders at the expense of real victims.

An article in City A.M. states that while third-party litigation funding has a legitimate role in enabling access to justice, market incentives are now skewing the system. Ryan highlights examples including the UK government’s move to “protect litigation funding” and reverse the Paccar ruling—a Supreme Court decision that had cast doubt on traditional fee structures—arguing that policy solutions must reflect how the market actually operates on the ground, not just how policymakers hope it will.

Ryan points to the handling of the Post Office scandal as a stark case in point. Despite grievous harms suffered by sub-postmasters, he notes that approximately 80 percent of damages paid eventually flowed to funders and lawyers rather than victims—an outcome he says “cannot be right.” He also cites the collapse of a cavity insulation claim and management upheavals in a multi-billion-pound class action against BHP as examples of how funder-centric incentives can undermine claimant outcomes and system integrity.

Rather than calling for an end to litigation funding, Ryan urges reforms centered on capping excessive funder returns, enforcing capital adequacy protections for claimants, tightening marketing oversight, and rebalancing incentives so victims—not investors—are the primary beneficiaries of successful claims.

Case Developments Commercial

Private Investors Eye Profits in L.A. County Sex Abuse Settlements

An investigation reveals that private investors are positioning themselves to profit from the enormous pool of money flowing from Los Angeles County’s historic sex abuse litigation. The county has already agreed to spend nearly $5 billion this year resolving thousands of claims related to alleged sexual abuse in its juvenile detention and foster care systems, including a $4 billion settlement—the largest of its kind in U.S. history.

An article in the Los Angeles Times explains that proponents of this investor involvement argue such financing gives plaintiffs’ attorneys the capital they need to take on deep-pocketed defendants and helps victims who lack resources access justice. Records reviewed by the Times show that several law firms bringing these claims receive financial backing from private investors, often through opaque out-of-state entities and Delaware-based companies.

Backers contend the arrangement can level the legal playing field and expedite case filings and settlements. However, public officials and critics express alarm over the lack of transparency surrounding these investments and the possibility that significant portions of settlement money intended for survivors could instead flow to private financiers. Some county supervisors reported being contacted by investors asking about the potential profitability of the sex abuse suits, raising ethical concerns about treating human trauma as an “evergreen” revenue stream.

The backdrop to this investor interest is a surge in litigation following changes in California law that revived long-dormant abuse claims and spurred widespread advertising by plaintiff firms seeking new clients. Government scrutiny has heightened amid reports of questionable recruitment practices and potential fraud in some claims, and the county’s district attorney has launched an investigation into parts of the settlement process.