Comparing Contract and Policy Drafts with Generative AI
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Contract negotiations often involve several versions: the counterparty’s form, the company’s standard form, a redline and a clean execution draft. Generative AI can turn the differences into a comparison table, helping reviewers decide where to focus. The table is a navigation aid, not a substitute for a reliable document comparison or legal review.
Define the comparison before uploading documents
The prompt should identify the company’s role and the issues that matter. Useful columns may include the clause number, language in Draft A, language in Draft B, effect on the company, and the point requiring human review. A customer and a supplier may reach opposite conclusions about the same liability, acceptance or subcontracting provision.
Ask the model to distinguish changes in wording from changes in legal effect. It should also identify deleted clauses, new clauses and cross-references that no longer work after revision.
Review high-risk differences directly
Numbers, notice periods, defined terms and negative expressions are common sources of comparison errors. A change from “at least” to “no more than,” or from “may terminate” to “may not terminate,” can be missed by a summary that focuses on general meaning. Review those provisions in the original documents.
Word redlines or another deterministic comparison tool should remain the record of textual changes. Generative AI can explain the significance of a change, but it may omit a small edit or evaluate the clause from the wrong party’s perspective.
From the table to a decision
After verification, convert the material differences into negotiation positions or an internal risk memo. Separate mandatory revisions from preferred revisions and acceptable positions. This makes it easier for the business team to understand which differences affect the transaction and which are drafting preferences.
Before uploading documents, confirm the company’s confidentiality rules and the AI service’s data settings. Remove personal data and unnecessary commercial information where doing so will not impair the comparison.