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Intelligent Document Processing for Real Estate

Commercial real estate brokerage

Challenge

The brokerage processed 600+ lease agreements monthly, each requiring manual extraction of 40+ data points. The process consumed 160 staff-hours weekly and produced a 7% error rate that led to costly renegotiations.

Solution

We built an AI document processing pipeline that extracts structured data from lease agreements using OCR and large language models. The system handles multiple document formats, flags ambiguous clauses for human review, and populates the firm's CRM automatically.

Results

Processing Time

16min to 45sec

-95%

Data Accuracy

93% to 99.4%

+7%

Weekly Staff Hours

160 to 18hrs

-89%

Monthly Throughput

600 to 2,400

+300%

Technology Stack

PythonGPT-4TesseractFastAPIRedisGCP

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