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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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Rep. Issa’s Litigation Funding Transparency Effort Falters in House Judiciary Committee

By John Freund |

The latest attempt to legislate transparency in U.S. litigation funding stalled in the House Judiciary Committee this week when the committee considered the Protecting Third Party Litigation Funding From Abuse Act but recessed without ever voting on the measure and did not reconvene to advance it. The bill, introduced by Representative Darrell Issa of California, has now effectively been pulled from further consideration at this stage.

An article in IPWatchdog states that the Protecting Third Party Litigation Funding From Abuse Act was debated alongside other measures during a lengthy markup that focused primarily on immigration enforcement issues. The measure closely tracked a previous effort, the Litigation Transparency Act of 2025, also spearheaded by Issa, which sought to require parties in civil actions to disclose third party funding sources and related agreements. Like its predecessor, the current bill faced procedural challenges and competing priorities in committee, and did not reach the floor for a vote before lawmakers recessed.

Issa and his co-sponsors have framed the effort as necessary to illuminate so-called abuses in the U.S. litigation system by requiring the identity of third party funders to be disclosed to courts and opposing parties. But the repeated failure of similar bills to gain traction reflects deep partisan and practical concerns. Opponents argue that broad disclosure mandates could chill legitimate funding arrangements and impede access to justice, while supporters insist that transparency is essential to protect defendants and the legal system from hidden financial interests.

The stall of this latest proposal comes amid other congressional efforts on litigation finance, including separate proposals to address foreign funding in U.S. courts, but underscores the political and policy challenges in regulating private capital in civil litigation. With the bill pulled, stakeholders will watch for whether future iterations emerge in committee or form the basis of negotiations in upcoming sessions.

Commercial Regulatory Issues

Malaysian Bar Backs Arbitration Funding Reform

By John Freund |

The Malaysian Bar has publicly endorsed Malaysia’s newly implemented legislative framework governing third party funding in arbitration, while cautioning that all stakeholders must remain vigilant as the regime is put into practice. The comments come as Malaysia formally joins a growing group of jurisdictions that have moved to regulate litigation and arbitration funding rather than prohibit it outright.

An article in Business Today Malaysia reports that the Malaysian Bar welcomed the coming into force of the Arbitration Amendment Act 2024 on 1 January 2026, which abolishes the long standing common law doctrines of maintenance and champerty in the context of arbitration. The new law expressly permits third party funding for arbitral proceedings and introduces a regulatory structure aimed at balancing access to justice with procedural fairness and independence. According to the Bar, the reforms are a positive and necessary step to ensure Malaysia remains competitive as an international arbitration seat.

The legislation includes requirements for funded parties to disclose the existence and identity of any third party funder, addressing concerns around conflicts of interest and transparency. It also introduces a code of practice for funders, designed to ensure that funding arrangements do not undermine counsel independence, tribunal authority, or the integrity of the arbitral process. The Malaysian Bar emphasised that funders should not exert control over strategic decisions, evidence, or settlement, and that tribunals retain discretion to manage funding related issues, including costs and security for costs applications.

While acknowledging ongoing concerns that third party funding could encourage speculative or unmeritorious claims, the Bar took the position that ethical and well regulated funding should not be viewed as a threat to arbitration. Instead, it framed funding as a legitimate tool that can enhance access to justice for parties who might otherwise be unable to pursue valid claims due to cost constraints. The Bar called on lawyers, arbitrators, institutions, and funders to uphold both the letter and the spirit of the new law as it is implemented.

Commercial People Moves

Omni Bridgeway Appoints Nathan Krapivensky as Investment Advisor

By John Freund |

Global litigation funder Omni Bridgewayhas announced the appointment of Nathan Krapivensky as an Investment Advisor, reinforcing the firm’s ongoing focus on deepening its investment expertise and strengthening origination capabilities across complex disputes.

Omni Bridgeway states that Krapivensky joins the business with extensive experience spanning litigation finance, complex commercial disputes, and investment analysis. In his new role, he will advise on the assessment and structuring of potential investments, working closely with Omni Bridgeway’s global investment teams to evaluate risk, quantum, and strategic considerations across funded matters. The appointment reflects the firm’s continued emphasis on disciplined underwriting and the development of sophisticated funding solutions for corporate clients, law firms, and claimants.

According to the announcement, Krapivensky brings a background that combines legal insight with commercial and financial acumen, positioning him to contribute meaningfully to Omni Bridgeway’s case selection and portfolio construction processes. His experience in analysing disputes at various stages of the litigation lifecycle is expected to support the firm’s efforts to deploy capital efficiently while maintaining rigorous investment standards. Omni Bridgeway highlighted that the role is advisory in nature, underscoring the importance of independent, high-quality judgment in evaluating opportunities across jurisdictions and asset classes.

The hire also aligns with Omni Bridgeway’s broader strategy of investing in talent as competition within the litigation funding market intensifies. As funders increasingly differentiate themselves through expertise rather than capital alone, senior advisory appointments have become a key lever for firms seeking to enhance credibility with sophisticated counterparties. By adding an experienced investment advisor, Omni Bridgeway signals its intention to remain at the forefront of the market for complex, high-value disputes.