Tavrn provides AI-powered legal intelligence tools designed to streamline case preparation for attorneys. The platform automates medical record retrieval, generates structured medical chronologies, and drafts precise demand letters. This technology enables legal firms to accelerate document review, improve case evaluation accuracy, and focus resources on high-impact litigation tasks.
Funding
$15M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
LLFounders
Product
Problem
Law firms and in‑house legal teams spend extensive hours manually retrieving medical records, extracting key facts, drafting demand letters, and conducting eDiscovery, which creates bottlenecks, delays settlements, and inflates costs.
Solution
Tavrn delivers an AI‑driven SaaS platform that automates the end‑to‑end workflow for medical‑record‑intensive cases. The system ingests client intake data, evaluates case value in real time, and launches agentic retrieval workflows that pull records from thousands of providers nationwide. Extracted documents are processed by natural‑language‑processing models to produce structured, hyperlinked medical chronologies within 24 hours. The same models generate demand letters that reference injuries, treatments, and calculated damages, ready for immediate dispatch. An integrated eDiscovery engine tags, sorts, and extracts relevant content across all case files, cutting manual review time by up to 80 %. All outputs are stored in a secure, audit‑ready cloud environment and can be accessed via a web dashboard or API‑based integration with existing case‑management tools.
Target Audience
Primary users are litigation‑focused law firms and corporate legal departments that handle personal injury, SSDI, malpractice, and other cases requiring extensive medical documentation, as well as eDiscovery service providers seeking AI‑enhanced review capabilities.
Features
- Real‑time AI triage of client intake forms that surfaces high‑value claims and filters low‑quality leads.
- Automated, nationwide medical‑record retrieval using agentic workflows that track request status and deliver organized files to the case folder.
- Natural‑language‑processing engine that converts dense medical records into structured, hyperlinked chronologies delivered in under 24 hours.
- Demand‑letter generator that pulls injury, treatment, and damage data directly from records to produce professional, settlement‑ready drafts.
- eDiscovery module with auto‑tagging, sorting, and extraction of documents, reducing review effort by up to 80 %.
- Secure, HIPAA‑compliant cloud storage with end‑to‑end encryption, immutable audit logs, and role‑based access controls.
- RESTful API and SDKs for seamless integration with law‑firm case‑management and document‑management systems.
- Real‑time analytics dashboard showing retrieval status, chronology progress, and document‑review metrics.