Reviewing a Commercial Lease With AI: What to Catch

Step 1: Pin down the real economic terms

Base rent is the easy number to find. The real cost of a commercial lease is usually in what's layered on top of it, and that's where a fast AI-assisted extraction earns its keep:

• Base rent and escalation schedule. Is the escalation a fixed percentage, tied to CPI, or a stepped schedule with specific dollar or percentage jumps at defined intervals? Extract the exact formula, not a paraphrase — "rent increases annually" hides whether that's 2% or 6%.
• Additional rent / CAM charges. Common area maintenance, property tax pass-throughs, and insurance pass-throughs are frequently the largest source of cost surprise in a commercial lease. Confirm whether there's a cap on annual CAM increases and whether the tenant has audit rights over the landlord's calculation.
• Security deposit and any letter-of-credit requirement. Straightforward to extract, easy to skip confirming against what the client was told verbally before the lease arrived.

Have the tool pull every dollar figure and formula verbatim into one place before you assess anything else — a full economic picture, not just the headline rent number, is the actual starting point for whether this lease is a good deal.

Step 2: Extract the operational obligations

Next, the clauses that determine what the tenant can and must do in the space day to day:

• Permitted use. What is the tenant actually allowed to do in the space, and how narrowly is it defined? A tightly defined permitted-use clause can block a client's future plans (adding a product line, subletting part of the space) even if the current use is fine.
• Maintenance and repair obligations. Which party is responsible for HVAC, roof, structural elements, and routine repairs? This allocation varies a lot lease to lease and is a frequent source of dispute later if it's ambiguous.
• Assignment and subletting. Does the tenant need landlord consent, and is that consent required to be "not unreasonably withheld," or is it entirely at the landlord's discretion? Consequential for a client who might need flexibility later.

The permitted-use clause is worth a specific flag: confirming the stated use is actually compliant with local zoning is a step outside the four corners of the lease, and outside what a document analysis tool can verify — it requires checking external sources, which stays a task for you.

Step 3: Extract the exit terms — renewal, termination, default

The clauses that matter most when the relationship is ending or going wrong are often the ones read least carefully at signing:

• Renewal options. Is there an option to renew, on what notice timeline, and at what rent (fixed, market-rate, or a formula)? A vague or missing renewal mechanism can leave a client with much less leverage at the end of the term than they assumed.
• Early termination rights. Does either party have a right to terminate early, under what conditions, and with what penalty or notice period?
• Default and cure periods. What constitutes a default, and how much time does the tenant have to cure it before the landlord can act? Short or one-sided cure periods are a real risk worth flagging clearly.

A short worked example

Say a client — a small retail tenant — sends over a five-year lease for a new location. A fast AI-assisted pass might surface: base rent starting at a stated monthly figure with 3% annual escalations; CAM charges billed separately with no stated cap; permitted use limited narrowly to "retail sale of the tenant's current product line"; a single five-year renewal option at "then-current market rate" with 180 days' notice; and a 10-day cure period for monetary defaults.

That extraction answers "what does this lease say" in a few minutes instead of a slow manual read. The judgment questions are still yours: is an uncapped CAM charge acceptable given this landlord's history and the property type, or should it be negotiated to include a cap? Does the narrow permitted-use language block a product-line expansion the client has already discussed with you? Is a renewal at "market rate" with no defined mechanism enough certainty for a client planning a five-year build-out? The lease document contains the facts; answering those questions draws on market knowledge and the client's actual plans, which is exactly the layer AI extraction doesn't reach.

Common mistakes when using AI for lease review

A few patterns to watch for regardless of which tool does the extraction:

• Anchoring on base rent and treating CAM as an afterthought. Uncapped or loosely defined additional rent is often where the real cost risk sits — always extract it with the same rigor as the headline rent figure.
• Not cross-checking the permitted-use clause against the client's actual plans. A summary that accurately states the clause doesn't tell you whether it fits what your client intends to do with the space next year, not just today.
• Treating "market rate" renewal language as a settled term. Without a defined formula or appraisal mechanism, a market-rate renewal is really an agreement to negotiate later — worth flagging plainly rather than letting it read as more certain than it is.
• Skipping the default and cure-period clauses because they feel remote at signing. These matter most exactly when the relationship is under stress, which is the worst time to discover they're one-sided.

Step 4: Bring your own judgment to the whole package

Once the economic, operational, and exit terms are extracted and organized, the actual legal judgment starts: is this rent competitive for the market and submarket the space is in? Is the CAM cap reasonable relative to comparable leases? Does the permitted-use clause actually accommodate what this specific client needs, now and over the lease term? None of that is answerable from the document alone — it requires market knowledge, the client's business plans, and negotiating context that the lease itself doesn't contain.

This is the same pattern that holds across contract types: AI extraction gets you a complete, organized, fast first pass across a long document, so nothing gets missed on a rushed read. The judgment about whether the terms are good for this client, in this market, stays entirely with you. A document analysis tool built for this workflow is designed to stop exactly there — flagging what's on the page for your attention, never rendering the underlying business or legal judgment itself.

Privileged's contract-review workflow follows this same four-step shape for lease review as it does for NDAs — matter-based, on-device, organized around extracting and flagging the terms that need your attention rather than trying to decide for you.