Kalinda Raises $500,000 Pre-Seed Funding to Expand AI-Powered Legal Research Platform for Class Action Firms
Kalinda, an artificial intelligence startup building research tools for class action and mass tort law firms, has raised $500,000 in pre-seed funding to accelerate development of its AI-powered legal intelligence platform. The financing supports the company’s mission to help plaintiff-side law firms analyze complex case information faster by automating the review of medical, financial, employment, and product records. The round was backed by Y Combinator, along with participation from early investors including S28 Capital and Thomas Dohmke.
Founded in 2025 and headquartered in San Francisco, Kalinda develops artificial intelligence software designed specifically for class action lawyers. The company’s platform helps legal teams qualify potential cases by extracting key information from large volumes of documents and generating summaries that allow attorneys to evaluate claims more efficiently. Kalinda was founded by brothers Sayan Bhatia and Sohil Bhatia, who previously worked on artificial intelligence research and technology initiatives.
Y Combinator backed Kalinda through its Summer 2025 accelerator batch. The startup accelerator supports early-stage companies by providing investment, mentorship, and access to a global founder and investor network. Kalinda’s participation in Y Combinator helped the company gain visibility as it developed its AI solution for the legal technology market.
S28 Capital participated in Kalinda’s early funding, according to publicly available startup funding records. The firm invests in technology startups and joined other early supporters as Kalinda worked to build its artificial intelligence platform for legal professionals. Thomas Dohmke, a technology executive and investor, was also listed among the company’s early backers.
Kalinda’s technology addresses a major challenge in class action and mass tort litigation: reviewing and organizing thousands of pages of records required to determine whether individuals qualify for lawsuits. Legal teams often need to analyze medical histories, product usage information, employment documents, and other evidence before deciding whether claims meet case requirements.
The company’s AI platform is designed to automate much of this document-heavy research process. Kalinda extracts relevant information, summarizes records, and aggregates findings to help attorneys quickly identify important details. The company says its system can help law firms evaluate potential cases in minutes rather than spending months on manual review processes.
The startup is focused on plaintiff-side law firms handling large-scale litigation. In class actions and mass tort cases, firms may represent thousands of individuals, creating significant operational challenges when collecting evidence and determining eligibility. Kalinda aims to provide legal teams with AI-powered tools that improve efficiency and allow attorneys to process more cases.
According to the company, its platform has processed hundreds of thousands of pages of records and is being used by major plaintiff law firms in the United States. Kalinda’s goal is to provide legal professionals with the equivalent analytical support of large teams of paralegals and legal nurses by using artificial intelligence to handle repetitive research tasks.
The funding comes as artificial intelligence adoption expands across the legal industry. Law firms are increasingly exploring AI tools that can reduce administrative workloads, improve document analysis, and help lawyers access relevant information more quickly. Legal technology companies are developing specialized AI systems focused on areas such as contract review, litigation research, compliance, and case management.
Kalinda’s founders identified an opportunity to apply AI to one of the most time-intensive areas of litigation. Sayan Bhatia, the company’s CEO, previously conducted AI research at UC Davis’s LUKA Lab, while Sohil Bhatia, the company’s CTO, conducted AI research at Pacific Northwest National Laboratory. The founders also previously co-founded and scaled a STEM nonprofit that reached thousands of students worldwide.
The company plans to use its funding to continue improving its artificial intelligence models, expand product capabilities, and grow relationships with law firms. As litigation becomes increasingly data-intensive, Kalinda aims to help attorneys handle complex records more efficiently and identify viable claims faster.
With backing from Y Combinator, S28 Capital, and Thomas Dohmke, Kalinda is positioning itself as an emerging player in AI-powered legal technology. The company’s focus on automating class action research reflects a broader shift toward specialized artificial intelligence tools designed to transform professional workflows.