Tavrn

Tavrn is a specialized AI-driven platform designed for personal injury attorneys to accelerate the case preparation process, particularly in the creation of demand letters and medical chronologies. The tool focuses on automating two critical, time-intensive tasks: organizing medical records and generating persuasive demand letters that summarize a client’s injuries, treatment, and impact on daily life. Attorneys can upload various types of case documents—such as incident reports from law enforcement, client intake forms, ER CT scan reports, physical therapy notes, MRI image files, and other medical records—directly into the platform. Tavrn then processes these files using natural language processing and machine learning to extract relevant medical events, treatment dates, diagnoses, and provider information. The system structures this data into a comprehensive medical chronology, which lists each medical visit, procedure, or finding in chronological order with references to the original source documents. This chronology serves as the foundation for generating a demand letter that articulates the damages suffered by the plaintiff, linking medical evidence to legal arguments. The platform also includes a medical retrieval module that simplifies the process of obtaining records from healthcare providers, reducing the back-and-forth typically involved in subpoenas and requests. By connecting every action, file, and insight in one workspace, Tavrn allows attorneys and their paralegals to track the progress of each case from intake to settlement. The tool supports collaborative workflows—multiple team members can review, annotate, and edit documents within the platform. Tavrn integrates directly with common file formats (PDF, DOCX, TIFF, DICOM for imaging), eliminating the ne