AI Startup AlphaLit Raises $3.2M Seed Round To Screen and Score Smaller Cases and Route them to Lawyers
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AI Startup AlphaLit Raises $3.2M Seed Round To Screen and Score Smaller Cases and Route them to Lawyers
""You might need to have 100 conversations to take on five or six cases," says AlphaLit founder and CEO Anand Upadhye."
""Unless your case is worth millions or you are well-connected, it's almost impossible to get a lawyer on the phone," said Upadhye."
More than $55 million in meritorious civil claims go unfiled annually because over 64% of prospective plaintiffs' calls to law firms are ignored, particularly in working-class communities. Firms often cannot financially justify vetting many small cases, since large conversational volume yields few retainments. AlphaLit closed a $3.2 million seed round to apply voice AI and proprietary algorithms to interview claimants, evaluate evidence against legal frameworks, draft case memos, and assign an AlphaLit score based on liability, evidence quality, and potential damages. Cases that clear a threshold are forwarded to attorneys. The platform has generated about 80 cases, operates in California for employment matters, and plans to expand case types and jurisdictions.
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