AlphaLit (formerly Alphalitigation) is an AI-powered legal intake and case scoring platform that automates pre-litigation processes — identifies plaintiffs via AI ad campaigns, conducts AI voice intake, scores cases algorithmically, and routes vetted leads to attorneys. Founded 2024 by Anand Upadhye (ex-Legalist litigation funder). San Francisco. $3.2M seed round (Jan 2026) from VC firms. Website: alphalit.ai. Extensive press: LawNext, Law360, Legal Tech News, LawFuel, BizJournals SF. Reddit r/LawFirm thread with 10 responses asking about experiences. Reclassified from case-management to practice-management (lead gen/intake marketplace).
Company Info
- Founded: 2023
- Team size: 1-10 employees
- HQ: United States
- Sector: Litigation Finance
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Alphalitigation is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Alphalitigation addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
PI intake calls come in at 50-200 per week but 60-80% aren't viable cases — the firm wastes hours screening callers before a single billable minute, and good leads go cold waiting for callback
Where it fits in your workflow
Before Alphalitigation
AlphaLit runs AI-powered ad campaigns to identify potential plaintiffs → AI voice agent conducts initial intake → proprietary 17-point scoring rubric evaluates case strength → vetted leads routed to attorneys
After Alphalitigation
Attorney receives pre-screened, scored case lead → evaluates and accepts/declines → represents plaintiff. For funders: cases packaged into diversified portfolios.
Integrations & hand-offs
AlphaLit → plaintiff attorney (vetted lead delivery). AlphaLit → litigation funder (case portfolio packaging). AlphaLit ← AI ad platforms (lead generation).
Also used by similar teams
Community Data
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