Companies

Tavrn

tavrn.ai

Tavrn automates medical-record retrieval, chronologies, and demand-letter preparation for personal injury law firms.

HQSan Francisco, California, United States
Employees11-50
Funding$21.6M
Valuation$9.25M
7 active roles
Profile 8mo agoJobs checked 3d ago
Specialization
Not classified
Business
Software Applications
Market
Legal Services
Ecosystem
Applications
Customers
Small Businessesand 1 more customers values
  • Enterprises
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications
Specialization
Not classified
Market
Legal Services
Customers
Small Businesses, Enterprises
Delivery models
Hosted Software
Revenue models
Subscription, Usage Based
Listing status
Not classified
Latest equity round
Series A
Reported funding amount
$10M-$50M

About

Tavrn builds AI-powered legal workflow software for personal injury and other high-volume law firms, automating medical-record review, retrieval, chronologies, demand letters, and related case preparation. Its key differentiator is a fully autonomous, purpose-built workflow designed for contingency-fee practices rather than outsourced labor.

Market

Tavrn competes in vertical legal technology and AI workflow automation for plaintiff-side and contingency-fee law firms, particularly personal-injury practices. Its positioning centers on a fully autonomous, AI-agent-driven workflow spanning provider outreach, medical-record retrieval, chronologies, and demand letters, differentiating it from solutions such as EvenUp that combine AI with human legal review.

Target Customers

Tavrn primarily serves high-volume, small personal-injury law firms operating on contingency fees, with attorneys and paralegals as the core users and buyers. It also targets medical-malpractice, workers’ compensation, and SSDI practices, with potential expansion into eDiscovery, healthcare, and insurance workflows.

At a Glance

Problem

Tavrn addresses labor-intensive, document-heavy workflows in personal injury law. Paralegals and attorneys spend countless hours retrieving and reviewing medical records, drafting demand letters, and managing client intake—work that creates bottlenecks, delays case preparation, and imposes substantial operating costs. Because many personal injury firms work on contingency fees rather than billable hours, speed, throughput, and efficiency directly affect revenue and profitability.

The primary use case is accelerating high-volume personal injury case preparation, especially the creation of demand letters from complex medical records. By reducing the time required to understand a claimant’s medical history and prepare settlement materials, Tavrn aims to help firms handle more cases without proportionally expanding staff.

Product / Service

Tavrn is an AI-driven legal workflow platform offering medical record retrieval, medical chronologies and summaries, demand-letter generation, and broader case-preparation automation. For medical chronologies, users upload plaintiff documents through a secure portal; Tavrn’s AI processes records such as lab reports and physician notes, then produces a structured chronology with click-to-verify links back to the underlying evidence. Its retrieval workflow is designed to eliminate the calls, faxes, and follow-up traditionally required to obtain records.

The company positions its outputs as fast, accurate, and defensible: medical chronologies and demand letters can be produced in under 24 hours, with evidence linked at each step. Tavrn reports that firms using its chronology product reduce record-review time by 50–70%, while its medical chronology page claims costs can fall by more than 80% compared with traditional approaches.

Market

Tavrn competes in legal technology, specifically AI-powered legal workflow automation for documentation-heavy practices. Its initial wedge is high-volume personal injury law firms, although its stated platform scope also reaches litigation-support firms and insurance companies. Possible competitors and alternatives identified in market listings include Filevine, CaseMark, and Lexitas.

Tavrn is a commercial, post-launch company rather than a pre-revenue concept: its materials describe use by law firms and reported customer outcomes, while its 2025 Series A announcement cited strong traction across the U.S. personal injury market, rapid adoption, sticky usage, and word-of-mouth growth. It raised a $15 million Series A led by Left Lane Capital in July 2025, bringing reported total funding to $21.6 million; specific revenue figures were not disclosed in the evidence reviewed.

Founders & Leadership

Pedro PaulinoFounder
CEO
Vitor VavolizzaFounder
CTO
Jon ParisiVP, Sales

Funding History

2023-02
Pre-seed$1.4M

Hummingbird Ventures

2025-07
Series A$15M

Left Lane Capital

Recent News

2026-07-13other
Medical Record Retrieval Turnaround Time Guide

Tavrn published a guide covering medical-record retrieval deadlines by jurisdiction, including response deadlines, governing citations, and related notes. The article positions legal AI tools as supporting medical-record and case-preparation workflows.

2026-02-13product_launch
Top Legal Project Management Software (2026)

Tavrn’s comparison article discusses legal project-management tools and presents its medical-record retrieval, chronology-generation, and demand-letter capabilities as ways to reduce document-processing bottlenecks.

2025-08-05funding
Funds Flow

Legaltech.com reported that Tavrn, described as a records-review company, raised a $15 million Series A led by Left Lane Capital.

Active Roles

7
Hybrid - San Francisco/Sales/47d ago
OnSite - San Francisco/Operations/66d ago
Hybrid - San Francisco/Customer Success Manager/79d ago
Hybrid - San Francisco; United States/Customer Success Manager/79d ago
OnSite - San Francisco/Sales/242d ago
AI Product Engineer$200k – $300k
Hybrid - San Francisco/Engineering/242d ago
Hybrid - San Francisco/Customer Success Manager/242d ago

Business Model

Tavrn sells its software through a flat monthly subscription that includes unlimited users, with per-request charges for volume beyond the base plan. Advanced features may use custom pricing, with current rates provided on request.

Products

Medical Retrieval and automated provider outreachMedical ChronologyDemand LettersClient intake and eDiscovery workflow support

Tech Stack

AI agentsMachine learning and AI frameworksAmazon Web Services (AWS)PythonJavaScript

Competitors

ProPlaintiff.ai
Supio
EvenUp
Eve

Key Investors

Left Lane Capital, A*, Armyn Capital, BoxGroup, Graph Ventures