Jhana.AI, a legal-tech startup, has secured $1.6 million in seed funding led by Girish Mathrubootham, founder of Freshworks, and Manav Garg, founder of Eka Software, via their VC firm, Together Fund. The funding round also saw participation from notable investors like Shyamal Anadkat from OpenAI, Scott Davis from VMWare, Kunal Shah (CRED), Cory Levy (Z Fellows), and the founders of Razorpay.
Future Plans and Expansion
The fresh capital will be allocated toward enhancing Jhana’s proprietary legal datasets and AI models, as well as expanding its team by bringing in legal and artificial intelligence experts. This is crucial to the company’s long-term goal of making legal operations more efficient by improving accuracy and reducing time-consuming manual processes.
Looking ahead, Jhana is focused on expanding its presence, particularly in India and other global markets. The company also expects further backing from Indian investors, with additional disclosures on the full funding round to be announced soon. With its AI technology, Jhana aims to further revolutionize the legal industry by streamlining processes, cutting down costs, and providing accurate legal assistance for both individual lawyers and larger firms.
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About Jhana
Founded in 2021 at Harvard University by Em McGlone, Hemanth Bharatha Chakravarthy and Benjamin Hoffner-Brodsky, Jhana specializes in AI-driven legal assistants designed to simplify research and document review for legal professionals, in-house legal teams, and law firms.
By leveraging AI, Jhana offers cutting-edge tools that help generate legal documents, citations, memos, and other essential outputs, all powered by natural language inputs.
The startup’s AI platform utilizes a massive database of over 15 million case law records, statutes, academic articles, and web sources to ensure accurate, precise legal research.
Jhana has made significant strides since its inception, offering customizable AI solutions for enterprise clients, which integrate seamlessly with existing cloud systems and internal databases. The company’s AI tools have already attracted attention for their ability to improve productivity while minimizing human errors in complex legal tasks, such as research and document review.
