By Gravity Stack Staff
This week, AI workflow platform Vellum published a case study featuring its recent collaboration with Gravity Stack, showcasing how the two teams helped a global bank cut credit agreement review time by over 200%. The joint project, which combined AI-driven data extraction with a human-in-the-loop validation process, reduced turnaround time from several days to under 24 hours, while simultaneously streamlining quality control and creating a future-ready framework.
The engagement was centered around a common challenge in high-volume legal environments: how to accelerate review cycles without compromising on the accuracy or auditability required in risk-sensitive industries like banking. Gravity Stack led the design of a semi-automated workflow, using Vellum to extract key terms, route output through legal validation, and auto-generate stakeholder-ready checklists tailored to the client’s internal standards.
While the case study highlights impressive efficiency gains, it also points to a deeper shift in how legal AI is being deployed: one that emphasizes modularity, transparency, and the ability to extend successful workflows to new use cases without starting from scratch.
“The ability to build and maintain intelligent workflows using Vellum — without writing and rewriting code every time — has opened the door to a new level of scalability,” said Bryon Bratcher, Managing Director of Gravity Stack.
For Gravity Stack, the Vellum collaboration underscores the growing value of platforms that make it possible for legal technologists, product teams, and subject-matter experts to work side by side, iterating quickly while staying grounded in legal standards. Rather than positioning AI as a replacement for legal expertise, the system is designed to surface relevant insights faster and allow attorneys to focus on the work that matters most.
The credit agreement workflow is now serving as a template for additional review processes across financial services and beyond. As more teams look to responsibly scale their legal operations with AI, Gravity Stack sees strong potential in platforms like Vellum — not only for their model capabilities, but for the infrastructure they provide to build custom, controlled, and extensible solutions.
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