Artificial Intelligence Clauses in Commercial Contracts: What Florida Businesses Should Consider
Artificial intelligence (“AI”) is rapidly becoming part of everyday business operations, from automated customer service tools to contract analytics and marketing platforms. As companies adopt AI-enabled solutions, commercial contracts should address how these tools are used, who bears the risk, and how data is protected.
Below are several key considerations Florida businesses should address when negotiating AI-related provisions.
1. Defining “AI” and Scope of Use. Many contracts may reference “AI tools” without defining what that means. Is the software:
a. Using machine learning ?
b. Training on company data ?
c. Making autonomous decisions ?
d. Generating content ?
A well-drafted agreement should include, among other things:
a. Whether AI use is permitted at all
b. Whether customer data may be used to train models
c. Whether outputs may be reused or commercialized
2. Data Ownership and Training Rights. One of the most significant legal issues is whether the AI provider can use your company’s data to improve its models.
Contracts should address:
a. Who owns input data
b. Whether data may be retained after termination
c. Whether data is used for model training
d. De-identification standards
Florida businesses operating in regulated sectors such as healthcare, finance and government contracting should be particularly cautious.
3. Confidentiality & Trade Secrets. If proprietary information is submitted into an AI system, businesses must consider whether that information could:
a. Be stored outside the United States
b. Be accessible to third-party subcontractors
c. Appear in other users’ outputs
Florida’s trade secret protections depend heavily on maintaining reasonable safeguards. Contractual controls are part of that safeguard.
4. Intellectual Property in AI-Generated Content. The agreement should clarify:
a. Ownership of deliverables
b. License rights
c. Indemnification for infringement claims
d. Whether outputs are guaranteed to be original
Without clear language, disputes can arise over whether AI-generated materials are protectable or infringing.
5. Representations, Warranties, and Indemnification. Traditional software warranties may not adequately address AI systems that:
a. “Learn” over time
b. Produce probabilistic results
c. Generate unpredictable outputs
Businesses should consider:
a. Accuracy disclaimers
b. Bias mitigation representations
c. Regulatory compliance warranties
d. Indemnity for IP infringement or data misuse
6. Regulatory & Compliance Considerations. While Florida does not yet have a comprehensive AI statute, businesses should consider:
a. Federal privacy laws
b. Industry-specific regulations
c. Consumer protection concerns
Contractual compliance representations should allocate responsibility clearly between provider and customer.
7. Risk Allocation and Insurance. Because AI systems can produce unexpected results, parties should examine:
a. Limitation of liability caps
b. Exclusions for data breaches
c. Cyber insurance requirements
d. Professional liability coverage
Risk allocation provisions should reflect the unique uncertainty associated with AI systems.
Practical Takeaways that should be considered.
AI clauses should not be treated as boilerplate. They implicate data rights, intellectual property, confidentiality, and risk allocation, which are all fundamental transactional issues.
For Florida businesses, the goal is not to avoid AI but to contract for it thoughtfully. Clear drafting on scope, data usage, ownership, and indemnification can prevent disputes long before they arise.