Tavrn, an AI-driven legal technology startup, has raised $15 million in Series A funding led by Left Lane Capital, bringing its total financing to $21.6 million. Existing investors A*, Hummingbird Ventures, and BoxGroup also participated. Tavrn’s platform uses autonomous AI agents to help personal injury law firms automate critical workflows - including medical record review, chronologies, and demand letter drafting.

Founded in 2022 by Pedro Paulino (CEO) and Vitor Vavolizza (CTO), Tavrn emerged from deep engagement with legal professionals. The founders spent nearly a year shadowing paralegals and attorneys at contingency-fee law firms to understand the inefficiencies in case preparation.

Why Now Is the Right Moment for Legal Tech

The legal tech sector is experiencing a surge in AI investment, with approximately $2.6 billion flowing into the industry so far this year - nearly matching last year’s total of $2.7 billion. Despite many startups aiming to assist, Tavrn stands out by delivering full automation, not just augmentation. Its product is purpose-built to replace manual workflows entirely in personal injury law.

What Really Makes Tavrn Tick

Tavrn’s flagship solution revolves around autonomous workflows. Using advanced AI, the platform retrieves medical records, organizes chronologies, and drafts demand letters - with minimal human input. This addresses the high-volume, documentation-heavy nature of contingency-fee work, where speed and throughput directly impact revenue.

The outcome? Firms that deploy Tavrn can handle more cases with greater precision. Whereas manual processes could take weeks, Tavrn shaves that down to hours - accelerating capacity, accuracy, and profitability.

Amidst the excitement, there’s a deeper message for founders facing complex verticals. Tavrn didn’t start by building a flashy AI app - it began with relentless immersion in the field. Spending months observing daily workflows allowed the founders to understand pain points at a granular level. This approach avoids superficial fixes and delivers solutions built on real-world complexities.

By creating a product that operates invisibly alongside existing legal processes, Tavrn sidestepped the friction that plagues many enterprise rollouts. The AI simply does the work - no retraining sessions, no new dashboards. And when a solution can operate fully autonomously, the ROI is undeniable. Founders can learn from this: solving deep inefficiencies with seamless integration accelerates adoption and builds credibility fast.

This is not about flashy features. It's about injecting AI where work actually happens - and where invisibility becomes competitive strength.

Gaining Traction in Personal Injury Law

Since launch, Tavrn has amassed nearly 120 personal injury law firms as customers. Its AI workflow not only drives operational improvements but also unlocks new capacity for case work. Left Lane Capital’s board seat for Tavrn - represented by partner Matthew Miller - underlines the firm’s confidence in Tavrn's fully autonomous, ROI-driven solution.

The Road Ahead: Broader Workflows, Faster Scale

With Series A capital, Tavrn plans to deepen its automation capabilities - expanding into client intake, record retrieval, eDiscovery, and even full case prep - and grow its go-to-market engine. The goal is to become the go-to AI infrastructure layer for personal injury law practices nationwide.

Why This Matters

In personal injury, firms operate on contingency - tying revenue directly to speed and throughput. Each hour saved translates to measurable value for both clients and attorneys. Tavrn’s ability to fully automate pre-litigation workflows, deliver precise demand documents, and close processes faster makes it a revolution in legal operations.

Final Takeaway

Tavrn’s raise is both proof and catalyst: AI in legal tech can be more than a helpful add-on - it can become core infrastructure. By focusing on real pain points, building autonomous systems that plug into existing workflows, and delivering fast ROI, Tavrn is charting a path for what legal tech can achieve.