Indian legal-AI firms are increasingly making a mark and challenging global players, as domestic startups tailor tools specifically to Indian laws and court practices. CaseMine, for instance, recently became one of the few organizations worldwide to process over 10 billion tokens, equating to more than 12 million pages of legal text.
Many of these firms focus on Indian legal needs, working with local statutes, precedents, languages, and court formats. This specialization gives them an edge over foreign legal-AI tools, which are often designed for U.S., U.K., or European jurisdictions.
Cost and ease of adoption are also key differentiators. Domestic platforms are often significantly cheaper than foreign solutions, making them accessible to a wider range of law firms. Additionally, Indian legal-AI firms provide hands-on adoption support and customization aligned with local workflows, helping them capture substantial market share.
Adoption remains uneven. While large and mid-sized firms are experimenting actively with these tools, many smaller practices remain cautious due to concerns over reliability, AI errors, and rapid technological change. The long-term success of these home-grown legal-AI solutions will depend on building trust, maintaining high accuracy, and integrating seamlessly into everyday legal work.