Case Study: Commercial Real Estate Company achieves 50% faster lease abstraction with Conga AI Analyze

A commercial real estate company leverages Conga AI for 50% faster lease abstraction

A leading commercial real estate firm that acquires large suburban office properties faced a slow, error-prone lease abstraction process critical to due diligence. Relying on a third‑party agency and spreadsheet-based management, abstracts could take months, cost up to $1,000 each across 300–500 leases per acquisition, and caused delays in invoicing and renewals.

The firm deployed Conga AI Analyze—using a sample abstract to define required fields—to automatically generate accurate lease abstracts and store them in a secure, searchable database accessible to operations, finance, and legal. The move cut abstraction costs by 25% (up to $125,000 per acquisition), halved processing time, reduced errors, improved lease visibility, and accelerated revenue creation.