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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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Ciarb Finalizes Third-Party Funding Guideline for Arbitration

The Chartered Institute of Arbitrators (Ciarb) has finalized a guideline intended to bring greater clarity and consistency to the use of third-party funding (TPF) in international arbitration. The document addresses practical touchpoints that routinely surface in funded cases, including disclosure expectations, funder–party control, conflicts management, security-for-costs, and termination provisions.

An article in Global Arbitration Review reports that Ciarb’s move follows a multi-year effort to codify best practices as funding becomes a normalized feature of international disputes.

The guideline frames TPF as non-recourse finance that can enhance access to justice, while underscoring the need for transparent guardrails around influence and information-sharing. It also emphasizes tribunal discretion: disclosure should be targeted to the issues actually before the tribunal, with the goal of mitigating conflicts and addressing cost-allocation (including security) without converting funding agreements into mini-trials.

In parallel materials, Ciarb stresses that funded parties need not be impecunious and that funding may extend beyond fees to case-critical costs such as experts and enforcement.

For funders and users alike, the practical effect could be fewer procedural detours and more consistent outcomes on recurring questions (what to disclose, when to disclose it, and how to handle costs). If widely adopted in practice — by counsel in drafting and by tribunals in procedural orders — the guideline may reduce uncertainty premiums in term sheets and, in turn, lower the effective cost of capital for meritorious claims. It also sets a useful marker as regulators and courts continue to revisit TPF norms across key jurisdictions.

Commercial

Loopa Finance Joins ELFA Amid European Expansion Push

By John Freund |

Litigation funder Loopa Finance has officially joined the European Litigation Funders Association (ELFA), marking a significant step in its ongoing expansion across continental Europe. Founded in Latin America and recently rebranded from Qanlex, Loopa offers a suite of funding models—from full legal cost coverage to hybrid arrangements—designed to help corporates and law firms unlock capital, manage litigation risk, and accelerate cash flow.

The announcement on Loopa Finance's website underscores the company's commitment to transparency and ethical funding practices. Loopa will be represented within ELFA by Ignacio Delgado Larena-Avellaneda, an investment manager at Loopa and part of its European leadership team.

In a statement, General Counsel Europe Ignacio Delgado emphasized the firm’s belief that “justice should not depend on available capital,” describing the ELFA membership as a reflection of Loopa’s approach to combining legal acumen, financial rigor, and technology.

Founded in 2022, ELFA has rapidly positioned itself as the primary self-regulatory body for commercial litigation funding in Europe. With a Code of Conduct and increasing engagement with regulators, ELFA provides a platform for collaboration among leading funders committed to professional standards. Charles Demoulin, ELFA Director and CIO at Deminor, welcomed Loopa’s addition as bringing “a valuable intercontinental dimension” and praised the firm’s technological innovation and cross-border strategy.

Loopa’s move comes amid growing connectivity between the Latin American and European legal funding markets. For industry watchers, the announcement signals both Loopa’s rising profile and the growing importance of regulatory alignment and cross-border credibility for funders operating in multiple jurisdictions.

Commercial

Burford Covers Antitrust in Legal Funding

By John Freund |

Burford Capital has contributed a chapter to Concurrences Competition Law Review focused on how legal finance is accelerating corporate opt-out antitrust claims.

The piece—authored by Charles Griffin and Alyx Pattison—frames the cost and complexity of high-stakes competition litigation as a persistent deterrent for in-house teams, then walks through financing structures (fees & expenses financing, monetizations) that convert legal assets into budgetable corporate tools. Burford also cites fresh survey work from 2025 indicating that cost, risk and timing remain the chief barriers for corporates contemplating affirmative recoveries.

The chapter’s themes include: the rise of corporate opt-outs, the appeal of portfolio approaches, and case studies on unlocking capital from pending claims to support broader corporate objectives. While the article is thought-leadership rather than a deal announcement, it lands amid a surge in private enforcement activity and a more sophisticated debate over governance around funder influence, disclosure and control rights.

The upshot for the market: if corporate opt-outs continue to professionalize—and if boards start treating claims more like assets—expect a deeper bench of financing structures (including hybrid monetizations) and more direct engagement between funders and CFOs. That could widen the funnel of antitrust recoveries in both the U.S. and EU, even as regulators and courts refine the rules of the road.