AI commercial lease review: how to verify the output

AI lease review is useful when its output can be traced back to the supplied documents and checked by a person. Evaluate source quotations, version handling, missing information, calculations, and the separation of extraction from interpretation. A fluent summary or numerical risk score is not evidence that the underlying lease was read correctly.

The framework below is an original evaluation workflow. It is not an accuracy benchmark, legal opinion, or claim that any tool catches every issue.

Test the input boundaries first

Identify what the tool received: the main lease, exhibits, amendments, LOI, earlier rounds, and any scanned pages. Confirm supported file types and whether the upload completed. A correct answer about an incomplete file set can still be inadequate for the deal.

Ask what happens to tables, comments, headers, footnotes, moved text, and images containing text. Use documents you are authorized to process, and review the provider's current data-handling terms before uploading confidential material. CRE Redline describes its own practices on the security page.

Require source evidence for important findings

For each material point, look for the document version, clause location, and exact source wording. Check that the quoted words appear in the file and that surrounding language does not change the interpretation.

Keep three questions separate: what text is present, what changed, and what that change may mean. The first two can be verified directly against document evidence. The third can require business context and legal judgment.

A tool that gives an answer without a source may still be useful for brainstorming questions, but it leaves more verification work for the reviewer.

Use a small, controlled evaluation set

Build an authorized test package with known differences. For example, create illustrative versions with a changed allowance, a removed renewal sentence, an unchanged unanswered request, and a separate edited exhibit. Keep a human-prepared answer key.

• Does the allowance finding quote both values and calculate the difference correctly?
• Is the removed sentence identified in the correct version?
• Does the unchanged request stay open instead of disappearing?
• Is the separate exhibit included in the review scope?
• Does an absent LOI term remain unknown rather than becoming an invented match?

Include unchanged documents as a control. A system that reports issues everywhere can appear thorough while creating substantial false-positive work. Record missed findings and unsupported findings separately.

Check uncertainty and arithmetic

If the LOI states $40 per square foot and the lease states $32 for an illustrative 3,000 square feet, the stated difference is $24,000. If the lease's area is missing or contradictory, the output should identify that dependency rather than presenting the number as settled.

“Not found in the supplied documents” is different from “not required.” “No new tracked changes” is different from “no unresolved issues.” These distinctions matter in both manual and automated review.

Understand the role of a document comparison

Microsoft's Word comparison documentation describes a comparison between two identified documents. It does not determine whether a change is commercially acceptable. Likewise, an AI explanation should not be treated as approval to sign or as a substitute for counsel.

CRE Redline reads revision marks from Word files and uses the deal context to explain findings. Its worked example and redline feature page show the intended workflow. Verify the source, confirm the business decision, and route legal questions to counsel before using the result in a negotiation response.

For a repeatable review process, pair the tool with an issue log and the final signing checklist.