Case Study: Marveri accelerates lawyer-approved AI product validation with Vellum

How Marveri enabled lawyers to shape AI products without blocking developers

Marveri, a legal technology company, faced significant challenges in developing its AI-powered document analysis platform. A major bottleneck existed between their lawyers, who possessed the crucial domain expertise, and their engineers, who were required to build every potential feature for validation. This process was inefficient, causing engineers to waste months on unviable ideas and relied on ad-hoc evaluations. To bridge this gap, Marveri turned to the Vellum platform to streamline their development process.

By implementing Vellum, Marveri empowered its lawyers to use no-code tools to prototype AI workflows and run detailed evaluations using their proprietary data. This solution allowed legal experts to validate concepts for accuracy and compliance before any engineering work began. The results for Marveri were substantial: they saved a majority of engineering hours, as only the top 10% of vetted ideas moved forward, and they achieved faster iteration cycles to ship lawyer-approved AI features with confidence. Vellum enabled this transformation by providing the necessary tooling for collaboration and measurable benchmarking.

Marveri

Michael Dockery

Director of Product