Financial Covenant Extraction
The leverage ratio buried in section 7.2 — extracted, structured, and monitored before it's breached.
Financial covenant extraction is the structuring of the promises that live in credit agreements: the financial covenants (maximum leverage, minimum interest coverage, minimum liquidity — each with its ratio definition, threshold, testing frequency, and cure provisions), the affirmative and negative covenants (reporting obligations, restrictions on debt, liens, distributions, asset sales), and the defined terms that give them all meaning — because "EBITDA" in a credit agreement is not accounting EBITDA but a negotiated definition running to paragraphs of add-backs and carve-outs, and the covenant is only as extractable as its definitions.
The extraction task is contract analysis at its most technical. Covenant language is dense, cross-referential, and precise: the leverage test references defined terms defined elsewhere, modified by amendments executed later, with baskets and exceptions that change the arithmetic. Language models handle the reading — locating covenant provisions, classifying their types, extracting parameters (thresholds, test dates, grace periods), and chasing the definitional chains — with outputs structured into covenant registers: each obligation with its formula, its threshold schedule (covenants often step down over time), its testing calendar, and its citation trail back to sections and amendments. Accuracy discipline is strict, since a misextracted threshold monitors the wrong promise: low-confidence parameters route to credit analysts, and the extracted register is reviewed before it becomes the monitoring baseline.
The payoff is monitoring that scales. Extracted covenants pair with extracted financials (the borrower's statements, themselves parsed from PDFs) to compute compliance automatically each test period: headroom tracked, deterioration trended, breaches and near-breaches flagged ahead of certificates arriving. Portfolio-wide, the register answers questions that once meant re-reading loan files — which agreements permit this distribution, which covenants tighten next quarter, where does the portfolio stand against a rate shock — turning the credit agreement archive from filed paper into a live risk instrument.
Finding the indemnity in the haystack — locating and classifying the provisions that matter across a mountain of agreements.
The loan file, assembled and verified by machine — income, identity, collateral, and the decision-ready package.
Balance sheet, P&L, cash flow — parsed from PDF into numbers that reconcile, with the footnotes attached.
Proof Perimeter runs document AI inside your own perimeter — with a provenance record on every field.
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