Purchase contracts arrive as PDFs. Some are clean exports, some are scans of signed paper, and every one of them holds the same handful of details the rest of the business needs. Getting those details out meant a person opening each file, reading it, and typing the values into the system by hand.
- Faster preparation with automated reading of every contract PDF
- Better consistency with the same fields pulled the same way every time
- Ready to reuse with structured output that flows straight into the system
Challenge
Every contract had to be read by hand
The details a purchase contract carries are not complicated: who is buying, who is selling, the property, the price, the earnest money, the closing date. But they sit in different places in every document, and someone had to open the PDF, find each one, and type it into the system. On a scanned contract they first had to squint through the image to read it at all.
The same work, done slightly differently each time
Because it was manual, no two people captured a contract quite the same way. A date entered one way here, a name formatted another way there. Small differences, but they added up to data that downstream steps could not fully trust without a second look.
Everything downstream had to wait
Nothing that needed contract data could move until a person had finished reading and typing. The manual step sat at the front of the process and set the pace for everything after it.
Solution
We built a workflow that reads the contract, pulls out the fields, and hands back clean structured data. It runs in three stages.
Read the PDF
OCR pulls the text out of the contract, whether it is a clean digital export or a scan of a signed copy.
Find the fields
The text is passed through a language model that identifies each required detail and formats it into a fixed structure.
Hand it back clean
The structured result is prepared for reuse anywhere in the system that needs contract information.
It reads scans, not just clean files
Because the first step is OCR, a photographed or scanned contract is handled the same way as a digital one. The workflow does not depend on receiving a perfect file.
The same fields, formatted the same way
Every contract comes back in one fixed shape. A date always looks like a date, a name always follows the same format. That consistency is what lets the rest of the system use the data without a person checking it first.
Ready to reuse, not just extracted
The output is not a wall of text. It is structured data, prepared so any other part of the system that needs contract details can pick it up directly.
Results
Manual reading and retyping is removed from the front of the process. Contract details come out in a consistent, structured form, and the data is ready to flow through the rest of the system instead of waiting on a person. Where teams once read every contract by hand, that effort now goes into checking edge cases rather than typing routine fields.