Artificial intelligence has moved from novelty to necessity for New York businesses, agencies, and creators. Companies now build products on large language models, license AI tools from vendors, and generate content with systems that raise questions older contracts never anticipated. That speed creates real legal exposure around who owns what, what a vendor actually promises, and how personal data moves through an AI system.
The Fried Firm works with businesses and creative professionals across New York on the contracts, ownership questions, and compliance issues that AI adoption brings. Whether you’re licensing an AI tool, building a product powered by machine learning, or trying to understand what your company actually owns after using generative AI, having an AI lawyer that NYC businesses can rely on early in the process tends to prevent far more expensive problems later. If you are looking for legal advice on AI & technology law in New York and California, you can chat with us, complete our contact form, or call us at (718) 422-0500.
AI & Copyright Ownership
Copyright ownership is often the first legal question a business runs into once it starts using generative AI for logos, marketing copy, product images, or code. The rules here are more specific than most people expect, and getting them wrong can leave a company without any real ownership over work it paid to create.
Human Authorship Still Controls the Outcome
U.S. copyright law protects works of human authorship, and that principle hasn’t changed just because a machine did some of the work. The Copyright Office recently released a report examining how much human contribution AI outputs need for copyright protection. The Office has been consistent on one point: material generated purely by AI, without meaningful human creative input, doesn’t qualify for copyright protection on its own. Where a human meaningfully selects, arranges, or substantially modifies AI output, the analysis shifts, and protection becomes more likely. Our copyright lawyers are available to explain how the changes in law impact your business.
Commercial Ownership Risk When AI Is Part of the Workflow
The bigger risk for businesses isn’t usually the philosophical question of whether AI art is “real” art. It’s the practical question of whether your company can actually stop a competitor from using the same output, license AI-generated art to a client, or enforce anything against a copycat. If your team generates a campaign visual with an AI tool and it turns out the image isn’t protectable, you may have no legal claim to stop someone else from using it too. That risk multiplies when a vendor or freelancer used AI tools without disclosing it, since you may be building a brand around content you don’t actually own. Before you commercialize anything AI-assisted, it’s worth having someone review how it was made and who touched it along the way.
What To Check Before Signing an AI Vendor Contract
Most AI legal issues don’t start in a courtroom. They start in a contract that either didn’t anticipate AI at all or copied boilerplate language from a template that doesn’t fit how the tool actually works. An artificial intelligence attorney reviewing these agreements is usually looking for a handful of recurring gaps.
Vendor and Licensing Terms
AI vendor agreements often bury the terms that matter most: what happens to your data once it’s fed into the model, whether the vendor can use your inputs to train future versions of the tool, and what rights you actually get to the output. Some platforms claim broad rights to reuse anything you generate. Others limit commercial use entirely unless you’re on a specific tier.
If your business depends on an AI tool for a core function, you need to know exactly what license you’re getting and how it can change. Vendors update terms of service far more often than traditional software providers do, and a change buried in an email update can quietly strip away rights your business was counting on.
Indemnification and Infringement Risk
Because AI models are trained on massive datasets that sometimes include copyrighted material, there’s a real chance an output could resemble someone else’s protected work. If that happens and you’re the one who published it commercially, you want to know in advance whether your vendor will cover you or whether you’re on your own.
Strong AI contracts include indemnification language that spells out who bears responsibility for third-party infringement claims tied to the tool’s output. Many standard AI vendor agreements either omit this protection entirely or limit it so narrowly it offers little real coverage. This is one of the most common gaps we flag when reviewing AI vendor contracts for clients.
IP Assignment and Ownership Clauses
If you hire a freelancer, agency, or contractor who uses AI tools as part of the deliverable, your contract needs to address who owns the result. A generic work-for-hire clause written before generative AI existed may not clearly cover AI-assisted output, especially given the human authorship requirements discussed above. The safer approach is a contract that requires disclosure of AI use, defines what modifications or creative input the contractor is adding, and assigns ownership rights as clearly as the law allows.
Getting this right at the drafting stage, working with an AI contract lawyer familiar with how these tools actually function, is far cheaper than trying to untangle ownership after a dispute starts.
Data Privacy for AI Products
AI products live on data, and that creates exposure under privacy and security laws that predate the current wave of AI tools but still apply fully to them.
New York-Specific Privacy Exposure
New York doesn’t have one comprehensive consumer privacy statute the way California does, but it has real teeth through the SHIELD Act. New York’s Stop Hacks and Improve Electronic Data Security Act (SHIELD Act) requires businesses that own or license New York residents’ private information to develop, implement, and maintain reasonable safeguards to protect the security, confidentiality, and integrity of that information, and it applies to any business handling New York residents’ data regardless of where that business is based.
If your AI product collects, stores, or processes personal information from New York users, whether that’s a chatbot capturing customer details or a model trained on user-submitted content, the SHIELD Act’s security obligations apply. New York also amended the law in late 2024 to tighten breach notification deadlines and expand what counts as protected private information, so a compliance approach built a few years ago may already be out of date.
Building Compliance Into AI-Driven Products
Privacy risk in AI products doesn’t stop at storage security. It extends to what data goes into training, what gets logged during use, and what a company discloses to users about automated decision-making. Federal regulators have also made clear that AI doesn’t get a pass on general consumer protection principles. The FTC has warned that companies offering AI products must honor their privacy and confidentiality commitments, which means transparency about AI use, accuracy in marketing claims about what the AI does, and safeguards against discriminatory outcomes all remain enforceable expectations. For a New York business building or deploying an AI-driven product, that means privacy policies, data retention practices, and vendor agreements all need review with AI-specific use cases in mind, not just the generic template used for a standard website.
Why Work With an AI Lawyer in New York
AI moves faster than most legal frameworks were built to handle, which means a lot of standard contract templates and privacy policies simply weren’t written with these tools in mind. Working with an ai lawyer NYC businesses trust for practical, jurisdiction-specific guidance means you get review of your actual AI vendor agreements, your ownership documentation, and your data practices rather than generic advice pulled from a blog post. The Fried Firm maintains a growing library of AI legal resources covering copyright, licensing, and creative ownership questions, and we bring that same depth to reviewing contracts and advising on compliance for clients actively building or using AI tools. We focus on giving businesses clear, direct answers about risk rather than vague reassurances, and we tailor that advice to how your company actually uses AI, not a one-size-fits-all checklist.
AI & Technology Law: FAQs
Can My Company Own the Output of an AI Tool We Pay For?
It depends on the platform’s terms of service and how much human creative input goes into the final product. Some AI platforms grant users commercial rights to output by default, while others restrict it. Even where a platform grants rights, the output may not be protectable by copyright unless a human meaningfully shaped it.
What Should Be in an AI Vendor Contract Before We Sign?
At minimum, look for clear terms on data use and training rights, license scope for any output you generate, and indemnification language covering third-party infringement claims. If those terms are vague or missing, that’s a sign the contract needs negotiation before your business relies on the tool.
Does New York Require Businesses to Disclose AI Use to Customers?
New York doesn’t yet have a single comprehensive law mandating AI disclosure for most commercial uses, though sector-specific rules and general consumer protection laws can still apply depending on how the AI is used. This is an area where the legal landscape is shifting, so it’s worth checking your specific use case rather than assuming you’re in the clear.
Contact Our Experienced AI Attorneys To Discuss Your Options
If your business is negotiating an AI vendor contract, sorting out who owns AI-assisted work, or trying to understand your privacy obligations before launching an AI-powered product, The Fried Firm can help you work through it before it becomes a costly problem. Reach out to schedule a consultation and get direct answers about where your AI use stands today.
