CRE documents are the foundation of every deal: appraisals, rent rolls, T-12s, PFS, environmental reports. Our Document Intelligence engine reads the CRE document set a credit analyst reads, extracts every figure in the loan package, and cites every figure to the page it came from.
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, and document review alone consumes a large share of the 25+ hours a deal takes before it reaches committee. Document intelligence automates that process, pulling every figure in the loan package out of 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 and cited rather than re-keyed by hand, 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 every figure in the loan package 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, existing debt documents, and more.
Page-level citation on every extracted figure, so any number can be checked against its source in seconds. 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.
Community banks, credit unions and CRE private credit teams run LenderBox beside the loan systems they already have. No rip and replace, and no change to the core.
Document Intelligence is the engine that reads the CRE document set a credit analyst reads and extracts every figure in the loan package your credit team actually needs. Appraisals, rent rolls, T-12s, PFS, environmental reports, title, and more, parsed into structured, citable data with a page-level citation on every extracted figure.
Accuracy on this page is something you verify rather than something you take on trust. Every extracted figure carries a page-level 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 offers no equivalent audit trail, which is why errors in hand-spread rent rolls and operating statements usually surface late, at committee or in exam.
The CRE document set out of the box: rent rolls, T-12s, appraisals, sponsor financials, environmentals and existing debt documents, plus profit & loss statements, personal financial statements, title insurance, flood insurance, purchase agreements, and leases. 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 under an hour, with a page-level citation on every extracted figure 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 attested, audited February 2026, 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. Most community and regional banks go live in three to four 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, with a page-level citation on every extracted figure across the CRE document set. 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 figure, every citation, every page reference.
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AI-powered commercial real estate lending intelligence. From document intake to committee-ready credit memo in under an hour, end to end.
sales@lenderbox.ai (469) 340-2697
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