Legal Risks of Using Artificial Intelligence in Business
Using AI in your business creates real legal exposure — from data privacy violations to copyright infringement and discrimination claims. Here's what every business owner needs to know.
Bizee Editorial Staff
Editorial Team
Introduction
Using AI in your business creates legal exposure that most entrepreneurs don't see coming. The risks aren't hypothetical — they're written into privacy laws, intellectual property rules, and anti-discrimination statutes. You don't need to build the AI yourself to be held responsible for what it collects, generates, or decides.
What are the legal risks of AI in business?
The legal risks of using AI in business fall into 5 main categories: data privacy violations, intellectual property infringement, algorithmic discrimination, liability for AI outputs, and vendor contract gaps. Each risk can expose your business to regulatory enforcement, civil litigation, or both — regardless of whether you built the AI tool or bought it from a third party.
- Data privacy: AI tools can collect or process personal data in ways that violate federal and state privacy laws
- Intellectual property: AI-generated content may infringe existing copyrights, and purely AI-generated work may not be protectable
- Algorithmic bias: AI used in hiring or lending decisions can trigger discrimination claims under federal law
- Output liability: your business is generally responsible for what your AI says, generates, or decides
- Vendor contracts: standard AI vendor agreements often shift most legal risk onto the business customer
Why these risks matter for your business
Most entrepreneurs assume that using a third-party AI tool insulates them from legal responsibility. It doesn't. Existing legal frameworks place liability on the business that deploys and publishes AI outputs — not on the vendor that built the underlying model. That means if your AI-powered chatbot makes a misleading claim, your AI hiring tool screens out a protected class, or your AI content generator reproduces a copyrighted work, your business is on the hook.
The regulatory environment is also moving fast. The FTC has signaled active interest in AI-related consumer protection issues, the EEOC has stated that employers are responsible for discrimination caused by AI tools they use in employment decisions, and the U.S. Copyright Office has issued guidance requiring disclosure of AI-generated content in copyright registration applications. Staying ahead of these developments isn't optional — it's part of running a business responsibly.
How each legal risk works
Each of the 5 legal risk categories operates through a different legal mechanism. Understanding how each one works helps you figure out where your business is most exposed.
Data privacy violations
AI tools are data-intensive by design. Many collect, infer, or store personal information in ways that reduce individuals' ability to control what's gathered or how it's used. If your business feeds customer or employee data into a third-party AI tool without appropriate disclosures or a lawful basis for processing, you risk violating privacy laws — even if you never intended to.
In the U.S., privacy obligations come from a patchwork of federal and state laws rather than one national statute. If your business handles health data, financial records, or children's information, sector-specific laws like HIPAA, GLBA, or COPPA add another layer of requirements on top of general state privacy statutes. AI vendors often reserve rights to store or further train their models on customer input data — so check your vendor agreement before uploading anything sensitive.
Intellectual property and copyright infringement
Generative AI systems are trained on large datasets that often include copyrighted material. Their outputs can reproduce protected expression in ways that expose your business to infringement claims — even when the similarity is unintentional. The business that publishes or deploys the AI-generated content, not the AI vendor, is generally treated as legally responsible.
There's a second problem on the ownership side. Under current U.S. law, works generated solely by AI without meaningful human authorship aren't eligible for copyright protection. The U.S. Copyright Office requires human authorship as a prerequisite for registration, and only the portions of a work that reflect human creative contributions are registrable. If your business relies on purely AI-generated content, you may not be able to claim exclusive rights in it.
Algorithmic bias and discrimination claims
AI systems can replicate or amplify historical bias present in their training data, producing discriminatory outcomes for protected classes. In employment contexts, this creates direct legal exposure. The EEOC has stated that employers may be responsible for discrimination caused by AI tools they use in hiring or promotion decisions, even when the tool was built by a third party.
Under Title VII, employers can be liable for neutral selection procedures that disproportionately exclude members of a protected group unless the practice is job-related and consistent with business necessity. The Americans with Disabilities Act adds another layer: an AI screening tool that screens out applicants with disabilities or fails to accommodate disability-related limitations can trigger ADA liability. Most businesses don't audit the AI tools they use for hiring — and that's where the exposure lives.
Liability for AI outputs
AI systems are prone to generating incorrect or fabricated information — sometimes called hallucinations. If your business relies on AI-generated content in contracts, marketing materials, or customer-facing communications and that content proves false, you can face claims of misrepresentation, negligence, or breach of warranty. Regulators generally treat AI-generated output the same as if a human employee produced it.
Publishing inaccurate AI-generated content about a person or another business can also expose you to defamation or product disparagement claims. The legal framework doesn't carve out an exception because the content came from an AI tool. If your chatbot gives bad advice, your AI-generated email campaign violates marketing laws, or your AI-drafted contract contains errors that cause a breach, your business is on the hook — not the vendor.
Vendor contract gaps
Standard AI vendor agreements are written to protect the vendor, not your business. They typically include broad warranty disclaimers and liability caps that shift most legal risk to the business customer. Indemnity provisions in these contracts usually cover only intellectual property infringement related to the software itself — not third-party claims arising from AI-generated outputs like hallucinations, discriminatory decisions, or harmful content.
If you use AI for regulated functions — hiring, lending, health care, or financial services — and your vendor contract doesn't expressly address output-related harms, you're carrying that risk yourself. Before signing any AI vendor agreement, check whether it covers bias audits, validation studies, and indemnities for regulatory violations triggered by the tool's decisions. A legal professional can help you figure out what protections to negotiate for.
FAQ
Yes. Existing legal frameworks place liability on the business that deploys and publishes AI outputs, not on the vendor that built the underlying model. If a third-party AI tool your business uses produces discriminatory hiring decisions, inaccurate content, or privacy violations, regulators and courts generally treat your business as responsible. Vendor contracts rarely change this — most shift risk to the customer, not away from them.
It depends. The U.S. Copyright Office requires human authorship as a prerequisite for copyright registration. Works generated solely by AI without meaningful human creative contribution aren't eligible for protection. If a human author made substantial creative choices in the process — selecting, arranging, or modifying AI outputs — those human-authored portions may be registrable. The Copyright Office also requires applicants to disclose AI-generated content when seeking registration.
Yes. The EEOC has stated that employers may be responsible for discrimination caused by AI tools used in employment decisions, even when the tool was built by a third party. If an AI screening tool disproportionately excludes members of a protected group and the practice isn't job-related and consistent with business necessity, your business can face liability under Title VII. AI tools that screen out applicants with disabilities can also trigger ADA claims.
Generally, yes. Regulators treat AI-generated output the same as if a human employee produced it. If your chatbot makes misleading claims, gives inaccurate advice, or violates marketing laws, your business is on the hook. The fact that the content came from an AI tool isn't a legal defense. This is especially true in regulated industries — health, finance, and legal services — where inaccurate AI output can trigger enforcement actions on top of civil liability.
It depends on what data you're processing and where your customers are located. In the U.S., privacy obligations come from a patchwork of federal sectoral laws and state privacy statutes rather than one national law. If your business handles health data, HIPAA applies. Financial data triggers GLBA. Children's data triggers COPPA. Several states have their own comprehensive privacy laws. If you're feeding personal data into a third-party AI tool without appropriate disclosures or consent, you may be violating one or more of these frameworks.
The 5 biggest legal risks are data privacy violations, copyright infringement from AI-generated content, discrimination claims from biased AI tools, liability for inaccurate or harmful AI outputs, and gaps in vendor contracts that leave your business holding the risk. Small businesses are particularly exposed because they often adopt AI tools without reviewing vendor agreements or auditing the tools for bias and accuracy. Talk to a legal professional before deploying AI in any regulated function.
