5 Ways AI is Transforming CRE Due Diligence

Due diligence has always been the bottleneck in CRE acquisitions. AI is changing that — here are the five biggest shifts.

1. Querying Indexed Deal-Room Material

Ask questions across retrieved candidate leases instead of reading sequentially. Answers are designed to include source evidence, but retrieval may omit documents or amendments. Confirm the review set and verify material conclusions.

2. Assisted Lease Abstraction

AI can propose base rent, escalations, renewal options, and CAM provisions from retrieved evidence. Citation coverage can be incomplete; verify every material term.

3. Candidate Risk Flagging

Below-market renewal options, co-tenancy domino risks, exclusivity conflicts, concentrated expiration clusters — AI can surface potential risks for human review.

4. Financial Cross-Referencing

Use AI to compare rent rolls with candidate lease documents and OpEx budgets with service contracts, then verify any surfaced discrepancy against the complete source set.

5. Assisted Review

AI assists with information retrieval; humans apply judgment. Processing time and completeness depend on document volume, quality, provider access, and indexing.