The Legal AI 'Signature Authority' Blind Spot: Why AI Contract Review Tools Don't Know Who at Your Company Can Actually Sign This Deal

AI contract review has gotten genuinely good at the hard parts. Tools built on large language models can now catch unfavorable indemnification carve-outs, flag missing limitation of liability caps, identify non-standard IP assignment language, and surface problematic termination triggers — often more consistently than an overworked junior associate pulling a late Tuesday. But there is a foundational question that every single one of these platforms ignores completely, and it is going to cause serious problems for companies that mistake "AI-reviewed" for "legally cleared."

That question is: Who at your company is actually authorized to sign this specific contract?

Not in the abstract. Not "a VP or above." Who, under your company's current delegation of authority matrix, at this contract's dollar value, for this contract category, in this business unit, has actual signing authority — and has it right now, given that your DoA was probably revised after the last reorg?

The answer matters enormously. The AI tools have no idea what it is.

The DoA Problem Is Structural, Not Incidental

Delegation of authority documents are among the most consequential governance instruments a company maintains. They are also, almost universally, kept entirely outside the systems that legal AI tools touch. Your Ironclad or SpotDraft or Harvey implementation is trained on contracts, connected to your contract repository, maybe integrated with your redline workflow. It is not reading your internal DoA policy stored in Confluence, your board-approved authority matrix in a SharePoint folder that three people know exists, or the VP-level approval thresholds that Finance revised in March but Legal hasn't fully operationalized yet.

This is not a vendor oversight. It reflects the nature of DoA documents: they are living, version-controlled internal governance instruments that require contextual interpretation, not static legal text. But the practical consequence is that when an AI tool tells your procurement team that a software vendor agreement looks "acceptable with minor redlines," it has reviewed the contract in a complete vacuum of organizational authority context.

The AI reviewed the deal. Nobody reviewed whether the deal can be executed by the person holding the pen.

What Unauthorized Execution Actually Costs You

In procurement contexts, the consequences are often manageable but deeply annoying. A regional operations director signs a $2.1 million services agreement that, under the company's DoA, required CFO co-signature at anything over $2 million. The contract is performed. The vendor delivers. Two years later, during an internal audit or a financing event, someone finds it. You now have a contract that was executed without proper authority, which means you have a ratification problem, a controls problem, and potentially a dispute-resolution problem if the relationship later sours and the counterparty decides to test enforceability.

In M&A contexts, the consequences are far more severe. This is where GCs are discovering the gap in the most painful possible way: post-close due diligence during acquisition integration.

Consider what happens when a mid-market company is acquired and the buyer's legal team begins the standard contract inventory review. They are looking at three years of executed agreements — customer contracts, supplier agreements, lease modifications, software licenses, data processing addenda. What they find, with increasing regularity, is a category of agreements that were AI-reviewed but signed by personnel whose authority under the seller's DoA did not extend to that contract type or dollar threshold. The seller's team used their AI contract review tool, got a clean output, and treated that as sufficient process. Nobody checked whether the VP of Sales had authority to execute a $4 million enterprise software agreement without board approval, because the AI certainly wasn't going to raise that issue.

The buyer is now acquiring a portfolio that includes contracts with potential authorization defects. Depending on governing law and the counterparty, those defects may be ratifiable, or they may not be. Either way, they create indemnification exposure, complicate rep-and-warranty insurance underwriting, and burn integration timeline. Weinberg v. Sun Company and similar cases have established that apparent authority arguments have limits when internal governance documents contradict them — buyers who inherit these problems do not inherit clean hands.

GCs Are Starting to Name This Gap

The most forward-thinking general counsels I am aware of are now explicitly distinguishing between contract legal review and contract execution authorization as two separate workflow gates that must both clear before signature. This seems obvious when stated directly. It is apparently not obvious in practice, because the presence of an AI review tool creates a psychological completion signal — the contract was "reviewed" — that obscures the fact that a fundamentally different question was never asked.

Some procurement-forward legal operations teams are building authority-check logic into their contract management platforms using rule-based overlays: if contract value exceeds X and contract type is Y, route for Z-level approval before execution is permitted. This works reasonably well for standardized procurement categories. It breaks down for bespoke commercial agreements, M&A-adjacent contracts, and anything that crosses business unit lines where the DoA has overlapping or ambiguous thresholds.

What a Realistic Fix Looks Like

There is no AI fix for this yet, and anyone selling you one is selling a roadmap, not a product. The realistic fix has three components. First, your DoA document needs to be treated as a legal operations artifact with version control, not a governance document that lives in someone's email. Second, your contract workflow — whatever platform you use — needs an explicit execution authorization checkpoint that is separate from the legal review checkpoint, with a human sign-off confirming that the executing signatory has verified authority. Third, when you acquire a company, your diligence checklist needs a line item specifically asking whether AI contract review tools were used and whether execution authority was separately verified.

AI contract review is a genuine productivity multiplier for legal teams. But "this contract looks legally acceptable" and "this contract can be signed by this person" are different sentences. Until the tools learn to answer the second one, someone in your organization needs to ask it manually — every single time.

The AI cleared the contract. That is not the same as cleared to sign.