
CRE documents are the foundation of every deal: appraisals, rent rolls, T-12s, PFS, environmental reports. Our Document Intelligence engine extracts 6,000+ data points per deal in minutes, with 99.9% accuracy and page-level citations on every number.
Document intelligence is the use of AI to automatically read, extract, and structure data from commercial real estate loan documents. In a typical CRE deal, underwriters review dozens of documents: rent rolls, operating statements, appraisals, environmental reports, title commitments, and borrower financials. Each contains data points that drive the credit decision.
Traditionally, analysts extract this data by hand, spending 8-12 hours per deal just on document review. Document intelligence automates that process, pulling thousands of structured data points from unstructured documents with page-level citations, so every number can be traced back to its source.
For community banks and private credit teams, document intelligence eliminates the bottleneck at the front of every deal. When the data is extracted in minutes instead of hours, the rest of the underwriting workflow, from policy checks to credit memo generation, can begin immediately.
Analysts manually spread rent rolls, miskey numbers, and maintain inconsistent formatting across teams.
Fully automated extraction with source attribution. Every deal gets:
Drop in loan packages in any format. Appraisals, rent rolls, financial statements, tax returns.
AI extracts 6,000+ data points with page-level citations. Every number traced to its source.
Structured data ready for policy checks, credit memos, and committee presentations.
Appraisals, rent rolls, T-12s, profit & loss, PFS, environmental reports, title insurance, flood insurance, and more.
Every extraction verified against source with page-level citations. No more second-guessing.
Handles scanned PDFs, handwritten notes, multi-tab spreadsheets, and poor image quality.
Raw documents transform into structured, queryable data ready for analysis in minutes.
“The accuracy is remarkable. We stopped double-checking the extraction after the first week, it was right every time.”
VP of Commercial Lending, Regional Bank
Document Intelligence is the engine that reads every document in a CRE loan package and extracts the 6,000+ data points your credit team actually needs across 70+ document types. Appraisals, rent rolls, T-12s, PFS, environmental reports, title, and more, parsed into structured, citable data points with page-level references on every number, at 99.9% accuracy.
99.9% accuracy, verified against source. Every data point carries a page citation so your analysts, credit officers, examiners, and LPs can trace any number back to the exact line on the exact page it came from. Manual extraction typically runs 75-85% accurate with no audit trail.
70+ CRE document types out of the box: appraisals, rent rolls, T-12s, profit & loss statements, personal financial statements, environmental reports, title insurance, flood insurance, purchase agreements, leases, and more. The engine handles scanned PDFs, handwritten notes, multi-tab spreadsheets, and poor-quality images.
A typical document package takes 25+ hours of analyst time to spread manually. Document Intelligence processes the same package in about 35 minutes, with better accuracy and a full audit trail. That's analyst capacity you get back for deals that actually need human judgment.
Extracted data flows directly into Policy Intelligence for compliance checks, Portfolio Intelligence for concentration analysis, and credit memo generation. Every downstream calculation, DSCR, LTV, debt yield, concentration ratios, is built from cited source data, not rekeyed numbers.
LenderBox is SOC 2 Type II certified with encryption in transit and at rest. For banks, the platform is designed to meet OCC Third-Party Risk Management guidance (OCC Bulletin 2023-17) and GLBA requirements. For private credit funds, it meets the data security standards institutional LPs require. Full documentation is available for your vendor risk assessment.
LenderBox uses transparent pay-as-you-go pricing with a one-time activation fee that is credited toward your usage. No long-term contracts, no hidden fees. Most community and regional banks go live in as few as two weeks; CRE private credit teams typically move faster since their integration requirements are lighter. Onboarding includes configuring your document taxonomy, extraction rules, and (where applicable) LOS connection. Pricing scales with your portfolio size and document volume, book a demo for a scoped quote.
Generic OCR tools like Ocrolus or plain extraction services are built for any document; they return text but leave the CRE-specific interpretation to your analyst. LenderBox is purpose-built for commercial real estate lending, so the engine understands rent rolls as rent rolls, T-12s as T-12s, and appraisals as appraisals, at 99.9% accuracy with page-level citations on every data point across 70+ document types. Versus broader CRE platforms like Blooma or Lev, Document Intelligence doesn't just extract; it feeds directly into Policy Intelligence, Portfolio Intelligence, Risk Assessment, and credit memo generation on the same platform, so your data moves from document to committee without leaving the LenderBox environment.
Bring your own documents. We'll extract them live and show you every data point, every citation, every page reference.
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