A litigation funding startup founder is making the case that technology, disciplined underwriting, and alignment with law firms will define the next phase of growth in the funding industry.

In Part II of its interview series, Above the Law spotlights the founder’s views on building a differentiated funding platform in an increasingly competitive market. The discussion centers on how newer entrants can compete with established players by leveraging data analytics, focusing on select case types, and maintaining tight operational controls. Rather than pursuing volume for its own sake, the founder emphasizes a strategy built around rigorous case selection and long-term partnerships with law firms.

A key theme in the interview is the importance of underwriting discipline. The founder notes that not all meritorious cases make good investments, underscoring the need to evaluate damages models, collectability, and litigation timelines with precision. Technology plays a central role in that process, with analytics tools helping to assess risk factors and identify patterns across similar claims. This approach, the founder argues, allows the company to move efficiently while avoiding the pitfalls of overly aggressive capital deployment.

The interview also touches on market education. Despite litigation finance’s growing acceptance, misconceptions persist among lawyers and corporate stakeholders. The founder suggests that transparency around pricing, control, and alignment of interests remains critical to winning trust—particularly among firms that may be considering funding for the first time.

Artificial intelligence is rapidly moving from a back-office efficiency tool to a central driver of strategy in mass tort litigation, with significant implications for plaintiff firms, defense counsel, and the litigation funding community.

An article in Bloomberg Law explores how AI-powered tools are transforming the economics of large-scale product liability and personal injury cases. From claimant intake and medical record review to document analysis and settlement modeling, AI platforms are enabling law firms to process vast amounts of data at a fraction of the traditional cost and time. In mass torts—where tens of thousands of claims can hinge on nuanced medical and factual distinctions—these efficiencies are particularly valuable.

According to the report, firms are deploying AI to automate the review of medical records, identify injury patterns, and categorize claimants more quickly. This not only reduces overhead, but also enhances early case assessment, helping firms determine which claims warrant full investment. On the defense side, corporate legal teams are leveraging similar technologies to assess exposure and streamline discovery. The result is a technological arms race in high-volume litigation.

While some observers raise concerns about accuracy, oversight, and ethical guardrails, proponents argue that AI can reduce administrative waste and free attorneys to focus on higher-value legal analysis. Vendors servicing the mass tort bar are also positioning AI as a way to increase access to justice by lowering the cost of bringing claims that might otherwise be economically unviable.