Kalinda builds deep research AI for class action law firms — $60K revenue in 4 months, targeting world's first AI law firm
Sep 10, 2025 with Sayan Bhatia
Key Points
- Kalinda generates $60K in revenue across four months with three of the largest US plaintiff law firms as paying customers, exploiting a category starved of AI tooling.
- Class action law firms handle billion-dollar settlements while still largely paper-heavy, creating an opening for software that aggregates and surfaces documents across fragmented sources.
- The founder aims to build the world's first fully AI-operated class action law firm, though regulatory feasibility for autonomous suit filing remains unaddressed.
Summary
Kalinda builds deep research software for class action law firms and aims to become the world's first fully AI-operated class action law firm.
The core problem is scale. Class action cases can involve up to 10 million pages of documents scattered across siloed sources. Kalinda aggregates that data and surfaces it the way a human researcher would work through it. The moat sits at the application layer rather than in proprietary data or novel architecture, handling document volume and fragmentation that generic AI tools cannot absorb.
Traction
Kalinda generated $60K in revenue over four months with three of the largest plaintiff law firms in the US as paying customers. The sales motion has been easier than expected. Firms in this category are largely pre-AI and many still paper-heavy, so the pitch lands as near-magic to buyers who have not engaged with generative AI tools.
Market context
Class action law is a high-cash, low-digitization vertical. Most settlements run over a billion dollars, yet many firms still have not gone fully paperless. Software has historically been unable to handle the natural-language complexity of the work, which is why the category has been overlooked for practically ever. Generative AI changes that calculus directly.
Kalinda came to the space through personal injury law first. The founders cold-walked into law firms last summer pitching general AI capabilities. Class action emerged as the higher-value wedge.
The full-stack ambition is to file suits autonomously as an AI law firm. Whether that is regulatory-feasible in the near term remains unclear.