AlphaLit develops a voice-based AI platform that interviews prospective plaintiffs, gathers evidence, and produces a structured case memo. The system then applies an algorithmic “AlphaLit score,” weighing liability, evidence quality, and potential damages to decide whether the matter should be referred to a lawyer in its network. To date, the platform has generated about 80 employment-related cases and operates solely in California, but the team intends to expand into additional claim types and jurisdictions. The company addresses a market in which more than $55 million in meritorious civil claims reportedly go unfiled each year because 64% of plaintiff inquiries to firms are ignored. By automating marketing, intake, and underwriting, AlphaLit lowers the cost of handling high-volume, lower-dollar cases for small law practices. Founded in 2024 by former Legalist investment director Anand Upadhye, AlphaLit positions itself as a mission-driven firm improving access to justice.

Total raised

$3M

Funding rounds

1

Latest round

Seed

Latest activity

Jan 2026