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Kalinda has raised $500K across 1 funding round.
Key people at Kalinda.
Kalinda was founded in 2025 by Sohil Bhatia (Founder) and Sayan Bhatia (Founder).
Kalinda has raised $500K in total across 1 funding round.
Kalinda helps class action law firms qualify potential cases in minutes with AI.
The nature of class action/mass torts involves thousands of cases for a single lawsuit. For every plaintiff (injured person), law firms involved in these cases compile everything from the products they used to the injuries they have. This data is extensive, granular, and buried deep in thousands of pages of medical, financial, and employment records and others.
Kalinda extracts, summarizes, and aggregates data from these records for attorneys with AI.
When scaled across an entire litigation, Kalinda works tirelessly and in parallel:turning a process that once took months into just a few hours.
Kalinda provides firms with the equivalent manpower of hundreds of paralegals and legal nurses, allowing them to quickly determine which claimants are eligible and helping them file faster and in greater volume.
To date, we’ve processed 600k pages of records and are live with 2 of the largest plaintiff law firms in the U.S!
Key people at Kalinda.
Kalinda was founded in 2025 by Sohil Bhatia (Founder) and Sayan Bhatia (Founder).
Kalinda has raised $500K in total across 1 funding round.
Kalinda's investors include S28 Capital, Thomas Dohmke.
Kalinda is an AI-driven platform designed specifically for class action and mass tort law firms to automate and accelerate the vetting of potential claimants. It extracts and summarizes critical medical and legal information from voluminous records, enabling law firms to review thousands of claims in hours instead of months. This automation significantly reduces manual labor, cuts costs by up to 95% compared to traditional methods, and allows attorneys to focus on higher-value legal work, ultimately speeding up settlements and increasing firm capacity[2][3][1].
Kalinda serves law firms handling complex mass tort cases such as those involving medical devices, pharmaceuticals, and environmental claims. Its product solves the problem of slow, costly, and error-prone claimant validation by providing comprehensive, customized reports that highlight only the relevant information needed for case qualification. The platform’s growth is marked by adoption among top-tier attorneys and recognition as a category-defining AI solution in legal tech, including backing by Y Combinator in 2025[2][4][5].
Kalinda was founded by brothers Sohil and Sion Batia, engineers and entrepreneurs with prior startup experience, who identified a critical inefficiency in mass tort litigation: the slow and manual process of vetting claimants through medical and legal records. Their background in engineering and AI enabled them to build a solution that leverages machine learning to automate this process. The idea emerged from the founders’ desire to address the bottleneck in mass tort cases where law firms spend months manually reviewing records to qualify claimants[1].
The company’s early traction came from demonstrating how their AI could produce detailed medical chronologies and treatment summaries in minutes, a task that traditionally took legal teams months. This breakthrough allowed Kalinda to quickly gain trust and adoption among award-winning attorneys and large law firms, setting the stage for rapid growth and recognition in the legal technology ecosystem[1][3].
Kalinda rides the wave of AI-driven automation in legal technology, a sector increasingly focused on reducing repetitive manual tasks to improve efficiency and accuracy. The timing is critical as mass tort litigation grows in complexity and volume, creating a pressing need for scalable solutions that can handle large datasets quickly. Market forces such as rising legal costs, demand for faster settlements, and the digitization of medical records favor Kalinda’s AI approach.
By enabling law firms to process claims faster and more accurately, Kalinda influences the broader legal ecosystem by democratizing access to advanced AI tools, leveling the playing field between large and smaller firms, and accelerating the pace of justice in mass tort cases. Its success also exemplifies how AI can transform highly specialized professional services beyond traditional tech sectors[1][2][4].
Kalinda is poised to expand its impact by deepening AI capabilities, potentially integrating more data sources and refining claim qualification criteria to cover a broader range of legal cases. As regulatory environments evolve and data privacy remains paramount, Kalinda’s commitment to enterprise-grade security will be a key competitive advantage.
Future trends shaping Kalinda’s journey include increased adoption of AI in legal workflows, growing volumes of mass tort litigation, and the push for faster, more cost-effective legal resolutions. Kalinda’s influence is likely to grow as it continues to reduce barriers for law firms to handle complex cases efficiently, potentially expanding into other areas of legal practice requiring document-intensive review.
In sum, Kalinda exemplifies how AI can revolutionize legal operations by transforming a traditionally slow, labor-intensive process into a streamlined, scalable, and cost-effective solution, fundamentally reshaping mass tort litigation workflows[1][2][3][4].
Kalinda has raised $500K across 1 funding round. Most recently, it raised $500K Seed in September 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Sep 1, 2025 | $500K Seed | S28 Capital, Thomas Dohmke |
