Case Study: Cushman & Wakefield achieves faster lease abstraction with Unframe AI

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Preview of the Cushman & Wakefield Case Study

Cushman & Wakefield delivers lease abstraction in 5–6 weeks with Unframe

Cushman & Wakefield, a leading global commercial real estate services firm, faced a significant challenge in extracting key information from lengthy, complex, and non-standardized lease documents. This manual lease abstraction process was slow and resource-intensive, taking anywhere from six hours to three days per document. They partnered with Unframe to find an AI solution that could deliver both the required accuracy and speed at an enterprise scale.

Unframe implemented its AI platform for lease abstraction and multi-language document processing, delivering a production-ready solution in weeks. The platform dramatically accelerated the process, allowing brokers to access lease insights in real-time instead of waiting days. This provided Cushman & Wakefield with not only immense speed but also consistent accuracy across documents in any language, transforming their operations and providing a competitive market advantage.


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