Tome

Based in California, Tome is an innovative legal tech startup with a game-changing product: an application that harnesses the power of Artificial Intelligence and Large Language Models to distill complex investment contracts into simple, helpful, and data-rich summaries.

Through its AI-powered application, Tome faced the challenge of efficiently distilling complex investment contracts into simple, data-rich summaries. However, their ecosystem lacked an internal tool for lawyers to effectively view, review, and perform additional operations on these contracts, hindering the legal team’s ability to provide timely clarifications and modifications to AI-generated summaries.

Sudolabs was brought in to develop an internal tool tailored for Tome’s legal team, facilitating additional contract assessment and modification. The project kicked off with a two-week product discovery sprint, closely involving Tome’s engineers, lawyers, and CEO.

This collaboration led to dynamic four-week development sprints, culminating in the creation of a Minimum Viable Product (MVP). The development process featured rapid feedback cycles, weekly releases, and active involvement from the tech team.

The partnership between Tome and Sudolabs blossomed into a year-long engagement. The internal tool significantly enhanced the legal team’s efficiency, enabling them to handle discrepancies and improve the AI model’s accuracy swiftly. This synergy not only streamlined Tome’s workflow but also allowed the engineering team to focus on refining the machine learning model.