Chariot Claims Raises $10M Series A for Consumer Arbitration

Chariot Claims has raised $10 million in Series A funding led by Silverton Partners to help consumers pursue claims over alleged privacy violations, hidden fees and hard-to-cancel subscriptions. The round brings the New York startup's total funding to $15.7 million, CEO Zim Hang told Crunchbase News.

Indicator Ventures, Lightbank, Neon Fund, ZVC, Rosecliff Ventures, Alumni Ventures, FJ Labs, Graph Ventures and Vermilion Ventures also participated. The company raised a $3.6 million seed in April 2025 after an earlier pre-seed round.

The funding lands amid a legal tech boom. Venture funding to the sector hit a record $4.6 billion last year, per Crunchbase data, and legal tech startups have already pulled in more than $3 billion this year — on pace to match or exceed the 2025 total.

What does Chariot actually do?

Chariot, founded about three years ago, works with law firms to identify potential cases, find affected consumers and gather the information needed to pursue compensation. It isn't a law firm and doesn't file claims itself; partner firms handle the legal work on a contingency basis while Chariot charges them flat service fees.

The model targets mass arbitration — a route for individual claims when contracts bar customers from class actions. Hang saw that firms built for class actions struggled with huge volumes of individual claimants.

"It's just really inefficient for them to try to build workflows around 10,000 claimants or 100,000 claimants," Hang said.

The pipeline is selective. Chariot receives more than 200,000 claim submissions per month and has taken on roughly 80 cases since shifting to its current business model just over a year ago, Hang said. Each month it reviews a few hundred potential cases, tests ads for about 30, and selects roughly 10 to pursue with partner firms.

Consumers complete an intake questionnaire that checks preliminary eligibility in real time. Chariot's team then reviews pre-qualified claims through a multi-layered system of technology and human oversight before sending them to the partner firm.

How will the $10 million be spent?

The company, which has about 15 employees and is currently breaking even, plans to spend the money primarily on hiring and product development — including AI tools to review cases and determine whether consumers qualify.

Its software already scans public records, including federal court filings, and uses AI to analyze allegations and prepare research such as legal memos based on publicly filed complaints. Hang's goal is to automate research that associates and paralegals would otherwise do.

Chariot is also developing tools to let users connect their email accounts so its software can find relevant documents directly, instead of asking them to fill out forms. Hang estimates that improvement could let the company handle 10x to 100x its current claim volume.

Why are some companies pushing back?

Advertising for claimants has drawn strong objections. Chariot has received cease-and-desist letters challenging, among other things, its use of company names and trademarks in ads. Hang declined to name specific companies but said the firm reviews each letter with legal counsel and complies with demands it considers valid.

"As a part of our business, we need to mention the name of the company that has this alleged violation," he said.

Hang's broader aim is financial: if more affected customers pursue compensation, companies face stronger incentives to change their practices. "We want to make unethical unprofitable," he said.

What convinced Silverton?

Mike Dodd, general partner at Silverton, said by email that his firm was drawn to Chariot's vertical AI approach to working with law firms, which he called "exciting and defensible."

"It's a greenfield market with space to expand horizontally and eventually into a generalized consumer legal AI solution," Dodd wrote. He also cited "a business model that aligns capitalistic incentives with access to justice."

"When a company breaks the law and breaks what it promises to its consumers, the consumer rarely seeks justice," Dodd added. "Chariot has built the technology to make individual consumer claims work at scale, and the team to operate it in a category where execution is genuinely hard."

For Chariot, the bet now rests on whether AI-driven intake and email-based evidence collection can turn a break-even, 15-person operation into infrastructure for consumer claims at 100x scale.