3 min readReviewing land agreements is detailed work—but too often, it’s slowed down by static, paper-based workflows that are prone to error. In this demo, Richard Cheng, Senior Solution Architect at Quorum, walks through how On Demand Land with Qai Data Extraction automates agreement analysis and data entry, helping Land Analysts focus more on interpretation rather than administration.
From Document Review to Decision-Ready Data
Instead of manually keying in terms and cross-checking every field, analysts can rely on AI to extract and organize agreement data, then validate it directly against the source document. The result is a workflow that keeps analysts in control, while removing much of the administrative burden.
“What this really does is shift the analyst’s role—from entering data field by field to reviewing and validating information that’s already been structured for them.”
How It Looks in Practice
- AI identifies and extracts key lease terms based on configurable prompts, tied back to their exact source location with a confidence score
- Analysts review, accept, or reject each value before anything is committed to the record
- Lease ingestion moves from hours to minutes, with more consistent data and less manual effort
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