When a client asks their in-house counsel to review an AI-drafted contract, the lawyer's pen moves to the same three clauses every time. Not because the AI is malicious—it isn't—but because large language models are pattern-matching engines trained on thousands of public contracts. They produce plausible language at speed. They do not produce precision under adversarial conditions. The result: liability exposure that a 15-minute human review catches and an unsigned contract exposes you to. This matters because AI contract drafting is accelerating. Teams use it to generate SOWs, NDAs, service agreements, and SaaS terms in minutes instead of days. That speed is real. But the three liability gaps below appear in nearly every LLM-drafted contract we've seen in the wild—and each one has cost clients money or enforcement headaches when disputes landed. Gap One: Termination Language That Survives the Letter But Not the Court LLMs love symmetry. They draft termination clauses that read well and treat both parties identically: "Either party may terminate this Agreement with 30 days' written notice, without cause, at any time." Sounds fair. It isn't. Here's why: "Without cause" collapses under stress. If you terminate a SaaS vendor on day 31 because they're insolvent, they'll claim termination "without cause" entitles them to payment for the full contract term. Courts split on this. Some interpret "without cause" as "no liability for termination." Others read it as "either party can terminate but owes damages." The ambiguity is the liability. No wind-down clause. What happens to live data, API keys, and integrations between notice and termination? LLMs default to silence. Your data sits in their servers for 30 days while they decide whether to cooperate with export, and you have no contractual lever. Missing survival language. Some clauses survive termination (indemnification, confidentiality, payment obligations). LLMs either list none or list all of them. The contract doesn't distinguish between operational clauses (which die with the relationship) and liability clauses (which must survive). The fix: Termination language must specify three things: (1) which clauses survive termination and for how long; (2) what happens to data and integrations in the notice period (immediate export rights, API access, no deletion); and (3) whether termination for convenience entitles the other party to damages. LLMs almost never include all three because they have no context for your risk tolerance. Gap Two: Indemnification That Covers Your Country's Liability Laws—and Gaps in Others This one is regional. LLMs train primarily on US contracts. When an AI generates an indemnification clause, it typically looks like this: "[Vendor] shall indemnify, defend, and hold harmless [Client] from any claims, damages, or costs arising from [Vendor]'s breach or negligence." In the US, this is standard. In Malaysia, Indonesia, or Singapore, it's incomplete: Missing gross negligence and willful misconduct tiers. SE Asian contract law often requires vendors to carry liability for gross negligence and willful misconduct separately from ordinary negligence. US-trained LLMs don't split these. You end up with a clause that covers ordinary breach but is silent on whether it covers reckless conduct, leaving a gap. No indemnification for IP infringement by region. If a SaaS vendor's software uses unlicensed code, who indemnifies you? In the US, this is typically the vendor. In Malaysia and Singapore, courts have ruled that indemnification clauses require explicit mention of IP claims to be enforceable. LLMs default to silence. Third-party claims uncovered. What if a customer of your customer sues you because the vendor's software caused data loss? LLMs often draft indemnification as vendor-to-client only, leaving no path for you to recover from the vendor when a third party sues you. Regional courts interpret this as intentional exclusion. The fix: Indemnification clauses must list specific claim types (IP infringement, data breach, regulatory fines) and explicitly include third-party claims. If you operate in multiple countries, you need country-specific carve-outs because the underlying liability law is different. Most LLMs generate one clause for all jurisdictions, which leaves enforcement gaps in all of them. Gap Three: Service-Level Agreements Without Teeth or Limits LLMs draft SLAs that are mathematically clean but operationally hollow: "Vendor shall maintain 99.9% uptime. If uptime falls below 99.9%, Vendor shall provide service credits equal to 10% of the monthly fee." Three problems: "Uptime" is undefined. Does it mean API response time? Page load time? Ability to log in? Ability to modify data? LLMs don't specify. When the vendor's API is responding but slow, is that uptime? When the login page loads but the dashboard is broken, is that uptime? Courts and arbitrators have ruled that vague SLA metrics are unenforceable, and the vendor owes nothin