Gemini Prompt: Multi-Agreement Cross-Reference Conflict Review
Reviews a set of related agreements together and reports conflicts, gaps, definition mismatches and broken cross-references, each with quotes and clause numbers. Which document controls is read only from the precedence clauses you paste.
The Prompt
Variables (7)
| Variable | Description | Example |
|---|---|---|
| {{client_name}} | Client Name | Lumen Health Partners |
| {{client_role}} | Client Role | Customer |
| {{transaction_description}} | Transaction Description | a cloud analytics engagement under one MSA with three SOWs |
| {{current_date}} | Today's Date | 2026-10-02 |
| {{review_instructions}} | Review Instructions | Check fees and data-processing terms first. Skip the NDA recitals. |
| {{governing_text}} | Governing Text (if any) | Section 9.2 of the parties' prior agreement: "Either party may terminate on written notice as stated in the Order Form." |
| {{agreements}} | Agreements | MASTER SERVICES AGREEMENT, dated March 1, 2026, between Lumen Health Partners and Orbit Cloud Inc. 1. Definitions... |
Expected Output
One attorney-only report: document register, conflicts between documents as a table with quotes, gaps, definition mismatches, cross-reference findings, what the order-of-precedence clauses say, arithmetic across documents, declined requests, missing information. Ends with a Verification list.
Usage Notes
Use for a deal stack such as an MSA, several SOWs, a DPA and an NDA. Paste each agreement in full with its title, date and parties; summaries produce unreliable findings. Watch for a "controlling document" conclusion where the pasted clauses do not decide it, and for documents referred to but never pasted. Not legal advice. The attorney remains responsible for verifying every fact, figure and authority before use.
Originally featured in: Gemini 3.1 Pro for Lawyers: Best Prompts, Use Cases & Honest Review (2026)
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* These prompts are drafting and analysis aids for licensed attorneys. They are not legal advice and do not replace professional judgment. AI output can contain errors, including invented citations and incorrect deadlines: verify every fact, figure, authority and deadline against primary sources before relying on it. Rules vary by jurisdiction, and you remain responsible for the final work product.