Description
️ Tool Name: 🖼
Tavrn
Categories: 🔖
Automation and Smart Agents, Education and Research, Summarization, Headlines, and Ideas, Integrations and APIs, Content Management and Publishing
️ What does this tool offer? ✏
Tavrn is an AI-powered case preparation platform, primarily aimed at law firms, particularly those specializing in personal injury cases. The platform connects case-related documents, procedures, and insights, helping legal teams retrieve medical records, convert complex medical records into organized timelines, and draft demand letters, as well as receiving and evaluating client data and discovering electronic documents.
The Medical Retrieval feature enables the management of medical record retrieval requests, faxes, and email correspondence in one place, using an agent-based workflow to execute retrieval requests from thousands of providers, track request status in real time, and deliver organized records directly to the case file.
Medical Chronology, meanwhile, transforms thousands of pages of medical records into organized, source-cited summaries, highlighting diagnoses, treatment timelines, procedures, and care providers. Tavrn notes that these outputs can be delivered in less than 24 hours.
Demand Letters enables the creation of customized demand letters based on medical records and case facts, highlighting injuries, treatments, and damages in organized, professional documents; drafts can also be edited and regenerated in real time.
The platform also includes Intake & Evaluation for analyzing client data and screening cases in the early stages, andeDiscovery for extracting relevant digital documents and correspondence. Tavrn Intake also provides an AI-powered assessment model to analyze the legal and financial viability of incoming cases and rank potential clients according to criteria such as injury severity, liability indicators, jurisdiction, and compensation potential.
What does it actually offer based on user experience? ⭐
Automatically retrieve medical records.
Track record requests and monitor their status in real time.
Converting thousands of pages of medical records into organized, source-linked timelines.
Generation of customized claim letters based on case data and medical records.
Analyzing and sorting client data and potential cases.
Extract relevant digital documents and correspondence within eDiscovery.
Link outputs to their sources so that information is traceable and verifiable.
Provide exportable outputs designed for law firm workflows.
According to results published by Tavrn, firms using the medical sequencing tool reported a reduction of between 50% and 70% in record review time, and the company also noted that the records retrieval workflow reduced the average retrieval time by 12 days compared to standard practice.
Does it include automation? 🤖
Yes, automation is a core feature of Tavrn. The platform uses Agentic Workflows for retrieving medical records and tracking requests, allowing agents to communicate with service providers and continuously monitor requests while logging interactions and request statuses.
Automation is also used to analyze and sort client data, as well as to generate medical sequences and claim letters, allowing the stages of document collection, analysis, and preparation of legal documents to be integrated into a single workflow. Tavrn emphasizes that human oversight remains a fundamental principle of the system.
Pricing Model: 💰
Pay-as-you-go. Tavrn does not display a traditional public subscription plan on its website, while recently published information from Tavrn indicates that the records retrieval service is billed at $40 per request,excluding provider fees, with the option to bundle records, invoices, and medical imaging into a single request. As for the pricing of the platform’s other modules, such as medical sequences, claims letters, and Intake, I could not find any publicly available pricing; access to this information appears to require contacting Tavrn and booking a demo.
🆓 Free Plan Details:
| Feature | Details |
|---|---|
| Permanent Free Plan | Not listed on the official website |
| Free trial | Not listed on the official website |
| Demo | You can book a demo to learn about the platform |
| Free access to tools | Not mentioned |
| Price | Not available |
Paid plan details: 💳
| Service | Price | Details |
|---|---|---|
| Medical Retrieval | $40 per request | Listed price per request, excluding service provider fees |
| Medical Retrieval – Order Types | Included in the order price | Requests can be submitted as Medical, Billing, or Combined, with records, invoices, and medical imaging included in the request |
| Medical Chronology | Not published | Conversion of medical records into organized, source-linked summaries and chronologies |
| Demand Letters | Unpublished | Generate customized demand letters based on medical records and case facts |
| Intake & Evaluation | Unpublished | Evaluate and screen cases and potential clients using artificial intelligence |
| eDiscovery | Unpublished | Extraction of Relevant Documents and Digital Correspondence |
| Service Provider Fees | Additional | Fees charged by record providers are passed on to the client, with the possibility of setting limits based on the published information |
Note: The published price of $40 applies to record retrieval requests andis not a standard rate for all Tavrn units. I did not find a comprehensive monthly or annual subscription table for all products on the official website.
How to Access the Tool: 🧭
| How to Access | Details |
|---|---|
| Web platform | Platform designed for law firms and case workflow management |
| Demo | You can request a demo of the platform |
| Case Management Integrations | Integrates with platforms such as Clio, Litify, Neos, SmartAdvocate, Smokeball, and CasePeer |
| API | An API is available as part of the platform’s integrations |
| Document Management | Upload documents and link outputs to their sources |
| contact@tavrn.ai | |
| Security | AWS, AES-256 encryption for stored data and TLS 1.2 for data in transit, with SSO and MFA |
| Privacy | Tavrn states that user data is not used to train, fine-tune, or improve AI models |
Demo link or official website: 🔗
Tavrn – Official Website