Tavrn
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About
Tavrn is an AI-driven case preparation platform specifically engineered for personal injury law firms looking to streamline their litigation workflows. The platform addresses the most labor-intensive aspects of legal work by automating the gathering, organization, and analysis of medical evidence. By integrating multiple stages of the legal process into a single ecosystem, Tavrn allows firms to move cases from intake to settlement significantly faster while maintaining a high standard of evidentiary integrity. The tool is designed to serve as a force multiplier for legal teams, transforming how they interact with voluminous medical records and discovery documents. The platform operates through a suite of specialized modules that leverage agentic workflows. For record retrieval, the system connects with thousands of providers nationwide to automate requests and track status in real time. Once records are obtained, Tavrn's AI processing engine can transform thousands of pages of medical data into structured, hyperlinked chronologies in less than 24 hours. These summaries highlight critical diagnoses, treatment timelines, and providers, with every insight linked directly back to its source document to ensure accuracy. Additionally, its eDiscovery engine utilizes AI to tag, sort, and extract relevant content from various file types, which the company claims can reduce document review time by up to 80%. Tavrn is primarily built for legal professionals at personal injury, medical malpractice, and SSDI law firms, including attorneys, paralegals, and intake specialists. It is particularly effective for firms managing high case volumes that suffer from backlogs in medical record review or administrative delays in record acquisition. By extracting financial context and specific injury details directly from medical files, the AI helps teams build more persuasive demand letters and settlement arguments with less manual effort. What differentiates Tavrn from general AI tools is its commitment to "evidentiary truth" and enterprise-grade security. Every output is defensible because the platform embeds proof by linking claims to their original sources, mitigating the risk of AI hallucinations. On the security front, Tavrn utilizes AWS infrastructure with 256-bit AES encryption and TLS 1.2 protocols. Crucially for legal confidentiality, the platform ensures that user data is never used to train, fine-tune, or improve any AI models, providing a secure environment for sensitive client information.
Pros & Cons
Reduces medical record review time by 50–70% through automated chronology tools.
Can reduce document review time by up to 80% using its eDiscovery engine.
Delivers complex medical summaries and demand letters in less than 24 hours.
Provides defensible outputs by linking every AI insight directly to the source file.
Automates record retrieval from thousands of providers nationwide with real-time tracking.
Pricing is not publicly listed and requires a custom demo request.
Focuses primarily on personal injury and medical niches, potentially limiting its use in other legal fields.
Requires a scheduled demo to access the platform rather than offering a self-service trial.
Use Cases
Personal injury attorneys can generate tailored demand letters by automatically pulling injury facts and financial context from medical records.
Paralegals can transform thousands of pages of medical records into structured, hyperlinked overviews in less than 24 hours.
Intake specialists can use AI to assess case value and extract critical facts from client forms in real time to prioritize high-impact leads.
Litigation teams can streamline document review by using the eDiscovery engine to automatically tag and sort case-critical evidence.
Firm administrators can automate the manual task of retrieving medical records from thousands of providers to reduce administrative delays.
Platform
Features
• enterprise-grade security
• agentic retrieval workflows
• hyperlinked source evidence
• ediscovery document tagging
• real-time intake evaluation
• ai demand letter generation
• medical chronology summaries
• automated medical retrieval
FAQs
What types of law firms is Tavrn designed for?
Tavrn is specifically built for personal injury, Social Security Disability Insurance (SSDI), and medical malpractice law firms that handle large volumes of medical records and case evidence.
How long does it take to receive a medical chronology summary?
Tavrn is designed to deliver structured medical chronologies and demand letters in less than 24 hours, helping firms avoid common bottlenecks and backlogs in case preparation.
Is my firm's sensitive data used to train AI models?
No, Tavrn has a strict data privacy policy where user data is never used to train, fine-tune, or improve any AI models, ensuring complete confidentiality for legal work.
How does Tavrn ensure the accuracy of its AI-generated summaries?
The platform utilizes a system of evidentiary integrity where every generated insight and summary is hyperlinked directly back to its original source document for verification.
What security protocols are in place to protect case files?
The platform uses 256-bit AES encryption for data at rest, TLS 1.2 for data in transit, and requires SSO and multi-factor authentication for user access.
Pricing Plans
Enterprise
Unknown Price• Medical Chronologies
• Demand Letter Generation
• Automated Record Retrieval
• Client Intake & Evaluation
• eDiscovery Engine
• Hyperlinked Evidence Tracking
• AWS Cloud Security
• SSO & MFA
• Zero AI Model Training on User Data
Job Opportunities
AI Product Engineer
Accelerate settlement timelines for personal injury law firms using AI to automate medical record retrieval, chronologies, demand letters, and case intake.
Benefits:
Equity
Comprehensive medical, dental, and vision benefits
Opportunities for career growth and development
Experience Requirements:
2–4 years of experience in software engineering, ideally working with SaaS or AI-driven technologies
Other Requirements:
Strong proficiency in Python, JavaScript, or other relevant programming languages
Familiarity with AI frameworks, machine learning concepts, and cloud platforms (AWS, Azure, or Google Cloud)
Proven ability to navigate ambiguity and deliver practical solutions
Excellent communication and collaboration skills
Responsibilities:
Develop and enhance Tavrn's AI-driven software solutions
Collaborate with sales and engineering to translate customer needs into technical solutions
Conduct product testing, debugging, and optimization
Support technical implementation and troubleshooting during customer onboarding
Maintain comprehensive documentation of technical designs, processes, and systems
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Operations Associate
Accelerate settlement timelines for personal injury law firms using AI to automate medical record retrieval, chronologies, demand letters, and case intake.
Benefits:
Competitive salary
Comprehensive health, dental, and vision benefits
Opportunity for rapid career growth and skill development
In-person team culture
Education Requirements:
Background in STEM or related fields
Experience Requirements:
Early career professional with 1–2 years of experience
Other Requirements:
Motivated to be proud of your work and willing to dive into any challenge
Passionate about finding solutions to complex problems
Take ownership and care deeply about delivering quality results
Responsibilities:
Assist in day-to-day business operations including office management and event coordination
Support implementation of operational processes and identify efficiency areas
Collaborate with other departments for seamless project execution
Maintain office resources and coordinate with vendors
Provide reports and updates on operational KPIs to leadership
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Sales Development Representative
Accelerate settlement timelines for personal injury law firms using AI to automate medical record retrieval, chronologies, demand letters, and case intake.
Benefits:
Comprehensive medical, dental, and vision benefits
Opportunity to grow and advance within a rapidly scaling startup
Supportive and dynamic work environment
Experience Requirements:
0–2 years of experience in tech sales (or similar sales-related role)
Other Requirements:
Exceptional communication and interpersonal skills
Ability to navigate ambiguity and complexity with a positive attitude
Willingness and ability to travel regularly to industry events (10–25%)
Comfortable with cold calling and persistent outreach
Responsibilities:
Conduct cold calls and emails to engage prospective clients
Schedule and confirm a minimum of 5 qualified meetings per week
Represent Tavrn professionally at industry conferences
Maintain detailed records of interactions using CRM platform
Collaborate with sales team to ensure seamless lead transitions
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