Foremark Legal raises $6 million to build result-based law firm with AI

Founder Viren Shetty announced a seed round of $6 million for Foremark Legal, which describes itself as the world’s first consumer-focused law firm operating on an “agentic” model and charging only on results. The core claim is that lawyers and SPV managers are the only parties taking zero-directional risk, while the rest of the market “eats its own cooking,” and Foremark aims to break that structure with an automatic underwriting engine.

Zero-cost underwriting engine

In the traditional contingency fee model, the upfront cost of case underwriting is a barrier: a firm must spend expensive lawyer hours just to decide whether a case is worth taking, and a pricing error can double the loss, both in directional risk and financing the litigation. Foremark’s solution is a legal-identification and underwriting engine that reads the facts and law and estimates a case’s value in seconds. Shetty says every case processed refines the next forecast, and the compound-interest effect of that feedback loop is the company’s true asset.

About $1 trillion in lost consumer claims

Shetty cited data indicating that about $1 trillion in legitimate consumer claims go unresolved each year because the average person encounters refusals, “ghosting” by firms, or retainer demands they cannot meet. Investor Cindy Bi served as a test case: she spent close to $1 million just trying to locate a suitable lawyer during a difficult period in her life, despite having resources and connections that most people lack. Her story demonstrated that the failure is not merely financial but structural.

Starting with personal injury, targeting all consumer law

Foremark will enter the market through personal injury, where percentage-of-award fee structures are already common. This is the fastest way to train the engine on a large volume of cases and build the infrastructure for a future “AI-Native” consumer law firm. Shetty notes that almost every dollar of AI funding for legal tech over the past three years has flowed to corporate contracts and work, where AI cuts costs. Foremark is betting on the opposite direction: using AI to increase revenue in the world’s largest and least digitized legal market.

Shifting market expectations

The stated goal is not only to build a more efficient firm but also to change what clients demand. If people know they can request result-based representation, any firm that offers only a retainer up front will find itself at a disadvantage. Should the engine succeed in reducing underwriting costs to zero at scale, the model could force the entire industry to move from time-based pricing to risk-based pricing, a shift traditional firms struggle to absorb.