Case Study: GravityStack speeds up credit agreement reviews with Vellum

A Vellum Case Study

Preview of the Gravity Stack Case Study

How GravityStack Cut Credit Agreement Review Time by 200% with Agentic AI

Gravity Stack, a subsidiary of law firm Reed Smith LLP, was challenged by a leading global bank's slow and manual process for reviewing complex credit agreements. This process took up to five days and required extensive manual extraction of terms. To address this without sacrificing legal precision, Gravity Stack partnered with Vellum to implement an agentic AI solution.

The solution built with Vellum used a three-phase workflow: an LLM to extract key data, a legal validation layer for accuracy, and automated checklist generation. This resulted in a 200% faster turnaround time, reducing review cycles from days to under 24 hours. The number of quality control steps was also cut in half, and the process became a scalable, semi-automated workflow thanks to Vellum's agentic AI capabilities.


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Gravity Stack

Bryon Bratcher

Managing Director


Vellum

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