Tavrn

Tavrn is an AI-powered pre-litigation automation platform built for personal injury and contingency-fee law firms. It automates the most time-consuming parts of case preparation — acquiring medical records, synthesizing them into structured chronologies, scoring intake leads, and drafting demand letters — so attorneys and legal staff can focus on case strategy and client relationships. Tavrn's AI agents work across all 50 states and integrate with the major case management systems that law firms already use.

Key Features

• Medical Chronologies: Tavrn converts dense medical records into structured, hyperlinked timelines within 24 hours. Each entry traces directly to its source document. The system automatically flags pre-existing conditions, treatment gaps, and key providers, giving attorneys a clear and defensible medical narrative before settlement negotiations begin.
• Medical Record Retrieval: Autonomous AI agents handle provider outreach and follow-ups without manual intervention. The platform covers providers across all 50 states, reduces retrieval times by up to 70%, and delivers 95% of records within 48 hours. Real-time status tracking eliminates the need for staff to chase individual providers.
• Demand Letter Generation: Once a medical chronology is complete, Tavrn generates a settlement-ready demand letter in under two hours. Letters are built from facts extracted directly from medical records and support firm-specific templates so the output matches each practice's established style and standards.
• Client Intake and Case Evaluation: Tavrn processes more than 150 data points per intake lead in under 30 seconds and produces a case score from 0 to 100. This early triage layer helps firms identify high-value cases faster and prioritize their pipeline without adding intake headcount.
• eDiscovery: Tavrn surfaces relevant digital documents with audit-ready traceability, supporting case preparation that extends beyond the medical record review phase.

Use Cases

• High-volume personal injury practices that need to reduce the time attorneys and paralegals spend reviewing and summarizing medical records before demand.
• Multi-state firms managing record acquisition across dozens of providers at once, where automated follow-up and real-time tracking reduce coordination overhead.
• Legal teams aiming to standardize demand letter quality and throughput without proportionally increasing staff, relying on AI drafting grounded in each case's verified medical evidence.

Integrations

Tavrn connects with major case management systems including Filevine, Litify, Clio, MyCase, and Smokeball, allowing firms to add automation to existing workflows without disrupting the tools their teams already depend on.

Security and Compliance

Tavrn is HIPAA compliant, SOC 2 Type II certified, and ISO 27001 certified. Data is hosted on AWS with 256-bit AES encryption at rest and TLS 1.2 in transit. All users authenticate through SSO with MFA required. Tavrn does not use firm or client data to train its AI models.