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Inside the Lawsuit Supply Chain: How AI, SEO, and Hedge Funds Are Rewriting Risk

November 12, 2025  |  By Todd Kozikowski, CEO, 4WARN®

Third-party litigation funding (TPLF) has become one of the most overlooked indicators of risk. The more money that flows into these funding networks, the more digital activity follows, from marketing campaigns to opportunistic targeting, and the greater the exposure for insurers and their policyholders. The same financial patterns are now appearing in other sectors, from transportation and healthcare to government, where investment dollars often signal where the next wave of digital risk will emerge.

In a recent conversation with attorney Matt Monson, founder of The Monson Law Firm, on the RiskCellar Podcast with hosts Brandon Schuh and Nick Hartmann, we explored how this ecosystem works, who benefits, and why it’s creating a new kind of risk that many companies don’t even know exists.

A Market Built to Monetize Lawsuits

TPLF began as a way to help individual plaintiffs afford their day in court. Today, it has become a global investment strategy that finances lead-generation companies and networks of firms that specialize in sourcing and scaling lawsuits.

At 4WARN, we’ve identified more than 125 active litigation funders and over 20,000 opportunists in the U.S. alone, although the actual number is likely three to four times higher, based on what we’re still uncovering. In one recent example, a single funder moved tens of millions of dollars through 13 legal and marketing networks that collectively targeted 66 insurance companies. Their coordinated activity generated about 27,000 “file-your-claim” clicks every month, creating a steady pipeline of potential litigation.

Many people think of litigation funding as money used to help plaintiffs. In reality, that funding often fuels the growth of participating law firms, lead generators, and marketing networks by paying for advertising, search manipulation, and outreach that create even more lawsuits. When you follow the money, you start to see how investment levels drive activity, and how those dollars directly increase exposure and risk. That’s why 4WARN measures not just who’s active, but how much financial power is behind the marketing campaigns.

These campaigns are highly organized and well funded. While well-known consumer brands might spend hundreds of thousands of dollars a year to advertise a product, certain legal and marketing networks are spending millions of dollars every month to advertise lawsuits.

How It Happens

Traditional legal advertising still fills billboards, radio, and TV, but the digital side is harder to see and much easier to exploit.

Our team has documented funded opportunists and marketing groups outranking carriers’ own claims-department phone numbers in search results and inserting fake 1-800 numbers that redirect policyholders to third-party call centers posing as insurers. Others use AI-generated content and paid search manipulation to influence what people see when they look for help after a storm or an accident.

Before hurricanes hit Florida or Louisiana, we saw fake websites and promotions appear within days, urging residents to “file early” to secure faster payouts. In some cases, the storm hadn’t even made landfall. What looks like helpful outreach is actually a digital operation designed to harvest homeowners insurance claims before they happen.

Matt Monson calls this phenomenon litigation harvesting, the “unholy trinity” of hedge funds, law firms, and lead-generation networks working together to monetize injury and catastrophe. It’s not about fairness or access to justice but about return on investment and lead volume.

What We're Seeing in the Field

This level of coordination isn’t theoretical. It’s already driving measurable losses for companies, carriers, and the policyholders and customers they serve.

In Louisiana, for example, Louisiana Citizens Property Insurance Corporation used 4WARN intelligence to identify and disrupt coordinated online targeting after a major hurricane. Within three months, litigation rates dropped 1 percent, equal to $9 million in savings for the state. That improvement came not from software or automation, but from visibility and understanding who was behind the activity, how they were operating, and where to intervene.

The broader implications are serious. As claim frequency spikes from manufactured targeting, smaller carriers and companies can quickly find themselves in financial distress. What begins as digital marketing ends as insolvency, and it’s happening faster than most regulators or actuaries can model.

What You Can Do

During our discussion, Brandon asked what organizations can do to protect themselves. The hard truth is that right now, most CEOs are on their own. Disclosure laws haven’t caught up, and cybersecurity tools weren’t built for this kind of threat.

Until new regulations emerge, companies need to take proactive steps, monitoring their online ecosystem, understanding who’s targeting them, and identifying early warning signals before they escalate into claims or lawsuits.

That’s where digital risk intelligence comes in. At 4WARN, we provide the radar that helps organizations see these coordinated patterns across search, social, and AI-generated content, and respond before the damage is done.

This isn’t about catching fraud after the fact. It’s about detecting intent, understanding influence, and protecting people before they’re exploited.

To hear the full conversation with Matt Monson and learn more about how litigation harvesting is reshaping the risk landscape, listen to the RiskCellar Podcast on Spotify.

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About the Author

Todd has over 25 years of experience founding and transforming multiple technology companies, leading organizational growth from start-up to post IPO, and helping build more than $5 billion in market value.

Earlier in his career, Todd co-founded and held leadership roles at Silknet (acquired for $4.2B by Kana), Unica (acquired for $480M by IBM), and Newforma (acquired by Battery Ventures).

Critical to the research that unearthed tech-enabled claim instigation, Todd has developed machine learning algorithms and analytical approaches that predict future events to help measure next-generation cyber risk targeting insurance organizations as well as impacts to financial solvency.

Todd is a graduate of Bates College with degrees in Physics, Astronomy, and Mathematics with advanced studies from the Smithsonian Center for Astrophysics at Harvard University.

Todd Kozikowski

CEO



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