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AlphaLit

Plaintiff intake and claim scoring for litigation finance

Raised to date

$5.6M

of $8M offered across 2 Form D filings

Still open
$2.4M
Investors
34
Last filed
Nov 5, 2026

About

AlphaLit (filed as AlphaLitigation Inc.) is an AI-powered legal intake and case-scoring platform that automates the pre-litigation funnel. It sources potential plaintiffs through AI-run ad campaigns, screens them with an AI voice intake system, scores each claim algorithmically for viability, and routes vetted cases to attorneys. On the capital side it packages screened claims into cross-collateralized litigation asset portfolios offered to litigation funders. The company was founded in December 2023 by former litigation funder Anand Upadhye with Jess Mah, operates out of San Francisco, and raised a $3.2M seed round announced in January 2026.

Automates the whole pre-litigation chain - plaintiff acquisition, voice intake, algorithmic case scoring and funder-ready packaging - so small cases that were previously uneconomic to originate or underwrite can be screened at software cost.

Funding

$4M round, first sold Oct 2026$1.8M sold$2.2M still open202420252026
Now
  • EquityFiled Nov 5, 2026Form D
    $1.8M/ $4M
  • EquityFiled Mar 25, 2026Form D
    $3.8M/ $4M

Product

AlphaLit platform

Legal technology - practice management, intake and lead origination

An AI-powered legal intake and case scoring platform that identifies plaintiffs via AI ad campaigns, conducts AI voice intake interviews, scores claims algorithmically, and routes qualified leads to litigation-focused law firms.

  • AI-driven advertising campaigns to identify potential plaintiffs
  • Automated AI voice intake interviews
  • Algorithmic case scoring and viability assessment

Built for

Litigation-focused law firms buying vetted case leads, and litigation finance funders buying underwritten claim portfolios.

People on file