Genie AI set out to reduce legal friction for businesses by giving non-lawyers and lawyers alike a reliable AI system for creating, reviewing, and negotiating contracts. Co-founded by Rafie Faruq and Nitish Mutha, the company traces its origins to academic research in generative AI and spent years building a large library of vetted legal templates and an AI layer capable of completing entire contracting workflows rather than answering one-off prompts.
The platform is built around agentic AI that can take a contract from drafting through review and negotiation, learning the organization's preferences and risk tolerances along the way. Genie AI offers a large bank of community-vetted legal templates and tools that let business teams move quickly on agreements without escalating every decision to outside counsel, while still flagging genuinely risky terms for human review. This positions it as a productivity layer for in-house teams and a self-serve legal resource for smaller businesses.
In October 2024, Genie AI announced a Series A of $17.8 million (about GBP 13.3 million) led by GV (Google Ventures), with participation from Khosla Ventures, early backers of OpenAI. The round brought total funding to over $20 million and was notably raised on a concise pitch, reflecting strong investor conviction in agentic legal AI. The capital is being used to expand the company's agentic capabilities and grow its user base.
Genie AI competes in a busy contract-AI segment that includes both startups and incumbents, but differentiates through its long-built template library, large existing user base of more than 200,000, and emphasis on autonomous workflows aimed at business teams as much as lawyers. Its founder has publicly framed the long-term ambition as reducing reliance on traditional law firms for routine contracting, betting that AI agents can absorb a growing share of standardized legal work.