Consider this hypothetical: a Seattle entrepreneur signs a five-year lease for a flex industrial space in SoDo. The lease was generated by an AI tool in about twelve minutes. The rent number is right. The square footage is right. The term is right. Two years in, the tenant tries to assign the lease to a buyer of the business. The assignment clause references a section that does not exist in this lease. The landlord refuses consent. The deal falls apart.
The lease looked complete. It was not.
We are not anti-technology. AI is genuinely useful for legal-adjacent work, and attorneys, including ours, already use AI in drafting workflows for the right tasks. The distinction is supervision. The problem is what happens when AI gets used as the final product on a document that controls a multi-year financial relationship, without the legal judgment that decides whether the document actually does what the parties think it does.
What AI does well, and where it fails
AI is trained on patterns. It is good at producing language that looks like a commercial lease because it has seen thousands of them. It can produce the standard provisions, the boilerplate, and the recognizable structure.
What it does not do is reason about your specific deal, your specific property, your specific tenant, and the specific Washington statutes and case law that apply. It produces text that looks correct. Whether it is correct is a separate question.
Here is what we have seen in AI-generated leases reviewed in our practice:
Internal cross-reference failures
Commercial leases are heavily cross-referenced documents (for example: Section 12.3 refers to Section 4.1, which conditions on Section 6.2(b)). AI models hallucinate cross-references, which could mean a section gets renumbered or deleted in revision, and the reference points nowhere. The provision then becomes ambiguous, and ambiguity is what disputes are built on. Washington courts may interpret intent from the surrounding document, apply construction rules, or sever a problematic provision, but the cost of getting that interpretation is the cost of litigation you did not plan for.
Missing or misstated Washington-specific statutory references
Washington has its own framework for commercial leasing. Chapter 59.12 RCW governs unlawful detainer, and the Residential Landlord-Tenant Act under chapter 59.18 RCW does not apply to commercial leases. AI tools frequently import residential concepts that do not belong, because the training data blends domains. The cost of that blending is the cost of figuring out, in litigation, which statute actually applies.
A separate niche issue: Article 2A of the UCC, codified at chapter 62A.2A RCW, governs leases of goods, not real property. It does not apply to most commercial real estate leases, but it can come into play when a lease bundles equipment with the real property, and AI tools sometimes confuse the two.
We have seen AI-generated commercial leases reference notice periods from the residential statute. Those notice periods do not apply to commercial unlawful detainer. A landlord who relies on them is significantly increasing the risk that the action gets dismissed or delayed, and the lease language itself may compound the problem. Our analysis of common commercial eviction errors walks through what actually applies.
Personal guaranty traps
If you are a landlord, the personal guaranty is often the most important document in the package. AI tools generate guarantees that look reasonable but lack the language needed to survive challenge. Standard problems include unclear scope (is this a continuing guaranty or limited to the original term?), missing waiver language, and no clear statement of consideration.
If you are a tenant, AI-generated guarantees often impose obligations broader than what the negotiation produced. A tenant principal signs a guaranty that is supposed to cap at twelve months and discovers later that it is uncapped, joint and several, and survives an assignment.
Operating expense and CAM definitions
Operating expense pass-throughs are where most commercial lease disputes start. The definition of what counts as an operating expense, what does not count, what is grossed up, and what is capped can be intricate. AI tools tend to produce generic definitions that work in textbook examples and fall apart in real buildings.
A few common AI failures we have observed: no exclusions for capital expenditures, no caps on controllable expenses, no separation of landlord overhead, no gross-up provision for partially occupied buildings. Each one of those could easily be a five-figure problem at reconciliation. What CAM means in a lease covers the basics.
Use, exclusivity, and co-tenancy
These provisions are deal-specific. A medical lease, a restaurant lease, an industrial lease, and a retail lease each require different use clauses. AI tools do not know which industry-specific protections matter. Our overview of restaurant and industrial space considerations and office and retail considerations covers the differences.
Co-tenancy clauses are where tenants get burned most often. AI produces co-tenancy language without the operational triggers, the cure period, the remedy structure, or the proof requirements that make the clause actually work.
Default, cure, and remedies
Default provisions are where lease enforcement happens. AI-generated default language often pulls from inconsistent sources. We have seen leases that require a 30-day cure period for non-monetary default but only a three-day cure for monetary default, with no acknowledgment of how those interact when a default has both monetary and non-monetary elements.
What goes wrong: the landlord serves a notice that triggers one cure period, then tries to enforce a remedy that required a different notice. The court dismisses. The default is now contested. The leverage shifts.
What this means for tenants
If you are a tenant, the risk of an AI-drafted lease is asymmetric. You sign a document that may give the landlord more leverage than the deal required, and you do not find out until something goes wrong. By then, the cost of fixing it exceeds what legal review would have cost on the front end.
The specific risks for tenants:
- Broader personal guaranty language than the business terms required.
- Operating expense pass-throughs without exclusions or caps.
- Assignment and subletting restrictions that block your business sale.
- Surrender obligations that require removal of improvements you assumed you could leave.
- Holdover rent at two or three times base rent without notice provisions.
What this means for landlords
If you are a landlord, the risk is different but equally serious. AI-generated leases often look landlord-friendly because they pull from form databases that lean that way. The problem is that the language frequently does not hold up.
We see landlords with AI-drafted leases struggle in unlawful detainer actions, lose ground in cure period disputes, take hits on operating expense reconciliation challenges, and get drawn into assignment consent fights. The pattern is rarely that the language is broadly wrong. It is that the language is internally inconsistent, missing an enforcement element, or sloppy on conditions and remedies, and the gap shows up only when someone tries to enforce it. Five lease provisions that cost landlords money when tenants go dark covers some of the most expensive ones.
Where AI is actually useful in lease work
We use AI tools in our own practice for specific tasks. Summarizing a counterparty’s redline. Generating a first draft of a non-material amendment. Producing a side-by-side comparison of two lease versions. Drafting a routine notice.
What we do not do is let AI produce the final document that goes out to the other side without legal review. The reason is not that AI is bad. The reason is that the kinds of errors AI produces are exactly the kinds that look right on the page and only show up when someone tries to enforce the document. A commercial lease is the wrong place to discover that.
How to use AI responsibly in your lease process
- Use AI for outlining and first-draft generation. Have an attorney rewrite and verify before signing.
- Use AI to summarize and explain provisions in plain language. Have an attorney confirm the summary is accurate.
- Use AI to flag unusual or non-standard language for review. Treat the flags as starting points, not conclusions.
- Never use AI as the sole drafter of a lease, amendment, guaranty, or notice that controls a significant financial relationship.
When to call us
K&S Canon drafts, reviews, and negotiates commercial leases for landlords and tenants throughout Seattle, Bellevue, Kirkland, and Redmond. We review AI-generated drafts, redraft what needs to be redrafted, and produce documents that hold up when something goes wrong.
Contact K&S Canon today. Call us at (206) 507-4009.
This article provides general information about commercial lease drafting in Washington and should not be considered legal advice. Every lease is different. If you have a specific lease question, talk to a qualified attorney about your facts.