Case Study: Retool achieves extraction of 12,000 contract data points in hours and a searchable database with Klarity

Allowing Retool to focus more resources on its most pressing priority - growth

Retool, an intuitive developer platform backed by Series C funding, needed to index critical data points from hundreds of disparate customer contracts—things like start/end dates, fees, auto-renewals and pricing guarantees—into a consistent, searchable database. Manual review was slow and error-prone, so Retool engaged Klarity and its Machine Learning application to scale and standardize contract data extraction.

Klarity ran 350+ documents through its ML application and produced a checklist-style, database-indexed output in a matter of hours, extracting nearly 12,000 data points—about 5x faster than manual review. The indexed data and analytics (pricing, term lengths, guarantees, renewal signals) gave Retool actionable insights to build a robust renewal motion, make data-driven decisions, and reallocate resources toward growth.

Retool

Jonathan Krangel

Head of Revenue Operations