AlphaLit AI offers an AI‑driven intake platform for civil litigation firms that automates 24/7 voice‑based claim capture, qualification, and scoring. The system generates case memos, aggregates documents, and routes vetted files to attorneys via a secure dashboard, integrating with common law‑firm CRMs and providing analytics on lead conversion.
Funding
Funding not disclosed
Founders
Product
Problem
Many civil plaintiffs never file valid claims because law firms lack the resources to handle high-volume, low-value intake work. Attorneys spend a majority of their time on manual intake tasks, leading to missed calls, unreturned voicemails, and a reluctance to pursue smaller cases. This bottleneck reduces case flow for firms and limits legal access for working‑class plaintiffs.
Solution
AlphaLit AI provides an end‑to‑end, AI‑driven intake platform that captures and qualifies potential civil claims around the clock. A conversational voice agent, powered by speech‑to‑text and natural‑language processing, answers inbound calls from ad campaigns and extracts claim details without human intervention. Each intake is scored in real time against a proprietary rubric built with experienced litigators, flagging high‑value opportunities. The system automatically generates a case memo and aggregates initial documents, then routes the vetted file to a pre‑approved attorney network via a secure web portal. Attorneys receive ready‑to‑act case packets, reducing intake overhead and enabling them to expand their small‑case practice. The platform also logs analytics on claim sources and conversion rates, helping firms optimize marketing spend and intake efficiency.
Target Audience
The primary customers are small‑to‑mid‑size civil litigation firms and boutique law practices seeking a scalable pipeline of vetted small claims. The platform also serves working‑class plaintiffs who need an accessible, automated way to initiate a claim.
Features
- 24/7 AI voice agent with multilingual speech recognition and intent extraction for seamless caller interaction
- Real‑time case scoring engine using a rule‑based rubric augmented by machine‑learning classifiers to prioritize high‑value claims
- Automated case memo generation and document aggregation, delivered through a secure, role‑based web dashboard
- API connectors for popular law‑firm CRM and practice‑management systems (e.g., Clio, MyCase) enabling direct case import
- End‑to‑end encryption and audit‑ready data storage to meet confidentiality and compliance standards
- Analytics suite that tracks call‑to‑case conversion, source attribution, and attorney acceptance rates
- Configurable ad‑campaign integration that routes leads from digital marketing channels directly to the intake workflow