Most companies using generative AI may lack adequate insurance protection against copyright infringement claims, even though the legal exposure is growing rapidly. As artificial intelligence tools become embedded across industries, businesses face a new and largely misunderstood risk: lawsuits claiming their AI systems violated intellectual property rights. The problem is that traditional insurance policies were written long before generative AI existed, and coverage for these emerging claims depends heavily on careful policy analysis and negotiation.

Why Does Standard Business Insurance Fall Short for AI Copyright Risk?

Most companies maintain commercial general liability (CGL) insurance, professional liability coverage, or cyber insurance policies. But these policies were designed for a pre-AI world, and they contain exclusions and limitations that don't fully account for the unique risks created by large language models and image-generation systems. When a company uses generative AI to create content that resembles protected works, or when AI training data includes copyrighted material without permission, traditional insurance policies may provide only limited protection.

The insurance industry itself is still catching up. In January 2026, the Insurance Services Office (ISO), which sets standard policy language for the industry, introduced a new endorsement specifically designed to exclude coverage for risks arising from generative AI. This move signals that insurers are becoming more cautious about AI-related claims, and corporate counsel should be wary of agreeing to broad AI exclusions that could eliminate coverage entirely.

What Types of Insurance Might Actually Protect Against AI IP Claims?

Three main categories of insurance policies may offer some protection against AI copyright and intellectual property claims, though each has limitations and requires careful review of policy language.

• Commercial General Liability (CGL) Insurance: Traditional CGL policies include limited coverage for "personal and advertising injury," which can encompass copyright and trade dress infringement claims related to advertising materials. The key advantage is that defense costs under CGL policies are usually paid outside the policy limit, meaning the insurer covers legal fees separately from any damage award.
• Errors and Omissions (E&O) or Professional Liability Insurance: Technology companies often maintain E&O policies that may provide broader coverage for copyright and trademark claims than CGL policies. These policies are typically written on custom forms that vary significantly in scope, and some do not contain IP exclusions, potentially covering "wrongful acts" arising from professional services.
• Cyber and Network Security Insurance: Specialized cyber policies may include coverage grants addressing certain IP risks, particularly in the context of data breaches or network security incidents. These policies often include both first-party coverage for the company's own losses and third-party coverage for liability claims from others.

The challenge is that most companies don't understand which of their existing policies might apply to AI copyright claims, and many insurers and claims handlers are equally uncertain about coverage in this emerging area.

"For companies on either side of this risk equation, our clients often seek the best insurance or other risk transfer mechanisms to address and minimize this exposure," explained Micah E. Skidmore.

Micah E. Skidmore, Attorney at Haynes Boone

How to Assess Your Current Insurance Coverage for AI Risk

• Review Policy Language Carefully: Pull your CGL, E&O, and cyber policies and search for exclusions related to intellectual property, copyright, patent, trademark, and trade secrets. Look specifically for any language that excludes coverage for "generative AI," "artificial intelligence," or "machine learning." Note whether defense costs are covered separately from policy limits.
• Identify Your AI Exposure: Determine which parts of your business rely on generative AI tools. Are you using AI to generate marketing copy, code, images, or other content? Are you training custom AI models on proprietary or third-party data? Are your products or services powered by AI systems? Each use case carries different IP risk profiles.
• Consult with Your Insurance Broker: Contact the broker who placed your policies and ask explicitly whether your current coverage extends to copyright infringement claims arising from generative AI use. Request written confirmation of coverage or non-coverage, as unclear answers may indicate inadequate protection.
• Negotiate Before Accepting New Exclusions: If your insurer proposes adding a broad AI exclusion to your policy at renewal, push back. Corporate counsel and risk managers should resist blanket exclusions that eliminate all coverage for AI-related claims and instead negotiate for narrower exclusions that preserve coverage for specific, manageable risks.

The Indemnification Problem: Why Vendor Agreements Aren't Enough

Many companies try to manage AI risk by requiring subcontractors and vendors to indemnify them against IP claims. In theory, if a vendor's AI system infringes a copyright, the vendor should cover the damages and legal costs. But indemnification agreements are only as good as the vendor's ability to pay. If a vendor lacks adequate insurance backing up its indemnification obligation, the contracting company could end up unprotected when a claim arrives.

This creates a hidden vulnerability: companies may believe they've transferred risk to vendors through contracts, but without verifying that vendors carry sufficient insurance, they've actually transferred nothing. When a copyright lawsuit lands, the vendor may lack the financial resources to defend the claim, leaving the contracting company exposed to both legal fees and potential damages.

What Happens When Insurance Doesn't Cover Your AI Copyright Claim?

If a company faces a copyright infringement lawsuit related to its use of generative AI and discovers that its insurance policies don't cover the claim, the financial consequences can be severe. The company must pay for its own legal defense, which can cost hundreds of thousands of dollars even before a settlement or judgment. If the court rules against the company, it must also pay damages, which can include lost profits, statutory damages, and in some cases, attorney fees.

For small and mid-sized companies, an uninsured IP claim can be catastrophic. Even large enterprises face significant balance-sheet impacts from defending and settling major copyright litigation. The lack of insurance coverage transforms what might be a manageable legal expense into an existential business risk.

The Broader Trend: Insurance Industry Caution on AI

The insurance industry's move toward excluding AI risk reflects broader uncertainty about how courts will ultimately rule on AI copyright claims. Until there is more legal clarity about when AI training on copyrighted material constitutes infringement and what defenses are available to AI companies, insurers are reluctant to commit capital to covering these claims. This creates a challenging situation: companies need insurance to manage AI risk, but insurers are becoming more cautious about offering it.

The January 2026 ISO endorsement introducing the possibility of broad AI exclusions is a significant moment for risk management. If such exclusions become more widespread, companies will face a narrowing window to secure adequate AI-specific coverage before it becomes unavailable or prohibitively expensive. Risk managers should act now to understand their current coverage gaps and explore options before the market tightens further.

For companies in technology, manufacturing, energy, research, and increasingly all other industries, the message is clear: traditional insurance policies may provide only limited protection for AI copyright risk, and careful policy review combined with proactive negotiation is essential to avoid dangerous coverage gaps.