LOAN AGREEMENT - Prompt
Loan Agreement Risk Assessment and Due Diligence Analysis — Dataset Reasoning Focus
Loan Agreement Risk Assessment and Due Diligence Analysis — Dataset-Based Legal Reasoning
Dataset 1: Scanned Loan Agreement Excerpt
This dataset contains a transcription of a scanned PDF loan agreement. Some information appears as faint footnotes or marginalia that may not be clearly legible. Analytical models must identify and reason through degraded or implicit text references.
Text Only |
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32 | LOAN AGREEMENT (Excerpt)
This Loan Agreement (“Agreement”) is entered into on February 3, 20XX, by and between LenderCo (“Lender”) and BorrowWell Corp. (“Borrower”).
Principal & Repayment Terms
1.1 Principal Amount: Five million dollars (USD $5,000,000).
1.2 Repayment: Quarterly installments over five (5) years. An interest rate of LIBOR + 2% will apply.
Collateral & Guarantees
2.1 The Borrower’s subsidiary, BW Holdings, shall provide a secondary guarantee.
2.2 In the event of missed payments exceeding thirty (30) days, the Lender reserves the right to enforce immediate collection on all outstanding amounts.
Financial Covenants
3.1 Borrower must maintain a Debt Service Coverage Ratio (DSCR) of no less than 1.2x.
3.2 [NOTE: Faint text, possibly referencing additional reporting obligations or ratio thresholds.]
Regulatory & Compliance Requirements
4.1 The Borrower shall comply with all applicable Anti–Money Laundering (AML) and Know Your Customer (KYC) regulations.
4.2 The Borrower must provide regular proof of compliance with relevant Basel III capital requirements if requested by Lender.
Events of Default
5.1 Nonpayment of Principal or Interest beyond the specified grace period.
5.2 Violation of covenants in Sections 3 or 4.
5.3 Insolvency of the Borrower, or initiation of bankruptcy proceedings.
5.4 [Footnote 1—faint text:] If Borrower or any subsidiary shall default on any other loan or indebtedness exceeding $100,000, this Agreement’s obligations may be accelerated at Lender’s sole discretion.
Miscellaneous Provisions
6.1 Governing Law: This Agreement is governed by the laws of the State of New York.
6.2 Severability & Amendments: If any provision is deemed invalid, the remaining provisions remain in effect. Amendments must be in writing and signed by both parties.
6.3 [Side Note 2—faint text, marginalia:] Additional AML disclosures may be required if there is a change in Borrower’s business structure.
[Document quality is partially degraded. Some footnotes or side notes may be incomplete or only partially readable. End of excerpt.]
|
Party |
Name |
Registration ID |
Address |
Contact Email |
Lender |
LenderCo |
LC-98765 |
123 Finance Avenue, New York, NY |
legal@lenderco.com |
Borrower |
BorrowWell Corp. |
BW-12345 |
789 Corporate Blvd, San Francisco, CA |
contracts@borrowwell.com |
Dataset 3: Historical Loan Default Incidents DS
Year |
Default Rate (%) |
Notable Default Trigger |
2018 |
4.5 |
Cross-default clauses triggered several defaults. |
2019 |
6.0 |
Accelerated repayment triggered due to covenant breaches. |
2020 |
3.8 |
Minor defaults mostly linked to economic downturns. |
Dataset 4: Compliance Requirements Checklist
- AML/KYC: Identity verification, transaction monitoring
- Basel III: Capital adequacy and liquidity compliance
- PCI DSS: Payment data handling (if applicable)
- Local/International regulations: Depending on jurisdiction
Dataset 5: Collateral Valuation Report DS
Asset |
Valuation (USD) |
Appraisal Date |
Real Estate |
$10,000,000 |
2023-08-15 |
Equipment |
$2,500,000 |
2023-07-10 |
Securities |
$3,000,000 |
2023-09-01 |
Dataset 6: Call Transcript with Legal Advisor
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| Agent: I reviewed contracts similar to our agreement.
Advisor: Acceleration clauses linked to subsidiary defaults are risky.
Agent: Those are often in faint footnotes?
Advisor: Exactly. Additional AML notes too. Anything unclear should trigger review.
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Using the datasets above, perform a detailed legal risk assessment and due diligence analysis of the scanned loan agreement.
- Identify all high-risk, ambiguous, or hidden clauses, including those in faint footnotes or marginal notes.
- Reference supporting data from multiple datasets to validate your findings.
- Summarize potential compliance obligations and problematic clauses.
- Focus on legal and financial interpretability, clause-level cross-referencing, and dataset-sourced evidence.
- Present a clear executive summary highlighting the most problematic clauses.
- Include clause-by-clause justification using specific datasets.
- Use markdown structure and tables as needed.
- Emphasize detailed evidence referencing and interpretation accuracy.
- Do not prioritize formatting polish or executive summaries over deep dataset-informed reasoning.