To originate rapid $15M–$20M commercial construction loans, the credit team had to manually process an overwhelming volume of unstructured documentation. Analysts were reading complex ASIC company extracts to map out shareholding structures, manually parsing webs of discretionary family trusts for guarantees, and extracting data from highly technical property valuation matrices to ensure the strict 75% LVR was not breached. For the General Counsel, a single typographical error in an ABN or a miscalculated valuation could render a multi-million-dollar mortgage legally void.
Commercial Deal Parsing
& Legal Risk Mitigation
The Bleeding Neck
Manual transcription introduced catastrophic systemic legal risk.
Architecture & Prototype
Qeiva OCR: Commercial Trust & Valuation Parser
1. Raw Input (Unstructured ASIC & Valex PDF Data)
Qeiva engineered a high-precision, forensic data extraction middleware. The system ingests multi-hundred-page PDF packages (Trust Deeds, ASIC extracts, Valex reports) and utilizes targeted data mapping to pull out specific entity names, Ultimate Beneficial Owners (UBOs), ABNs, and "as is" vs. "on completion" property values. This structured data is then piped directly into the firm's internal assessment matrices and legal drafting software.
The ROI
100%
Compliance Precision
60+
Hours Saved/Month
2 Min
Extraction Time
Before: Credit analysts and legal teams spent 4 to 5 hours forensically reading 200-page Trust Deeds and ASIC extracts to map shareholding structures and calculate LVRs for $15M deals.
After: The middleware extracts exact entity names, UBOs, and valuation matrices in under 2 minutes, piping the data directly into legal drafting software.
Net Impact: Eliminates 100% of human transposition errors and removes the systemic risk of an unenforceable contract.