TL;DR: If you built your app by describing what you wanted to an AI tool and accepting most of what it generated, “vibe coding,” there’s a real chance you don’t legally own the code the way you assume you do. The Supreme Court let stand a ruling in March 2026 confirming that AI-generated output without meaningful human authorship isn’t copyrightable at all, and every major AI coding tool has different, inconsistent terms about what you actually get. This guide covers the four myths that catch founders out, what the law actually says, and what to do about it before it becomes someone else’s argument during a fundraise or acquisition.
Quick overview: This is specifically about IP ownership in AI-assisted and AI-generated code. For the contractual side of hiring someone to build software or a website for you, our Website Development Agreement template covers that separately, and where you’re commercializing an AI model or API into your own product, our AI Model Licensing Agreement and API Licensing Agreement guide cover that ground.
What “vibe coding” actually means, and why it’s a genuinely different legal question
Vibe Coding is a development style where you describe what you want in plain language and accept the AI’s output largely without reading or understanding it yourself, relying on results and follow-up prompts rather than reviewing code line by line. This is a meaningfully different practice from using an AI assistant to speed up work you’re still actively directing and reviewing, and the legal analysis genuinely depends on which one actually happened, not on what you call it.
Myth 1: “I paid for the AI tool, so I own what it builds”
This is the single most common, and most costly, assumption. Paying for a subscription to an AI coding tool gives you a licence to use the tool. It does not, by itself, determine who owns the copyright in what the tool produces, and under current US law, copyright requires a human author. The US Copyright Office’s second report on AI and copyrightability, issued in January 2025, confirmed that prompting an AI tool, by itself, does not give a person enough control over the output to count as legal authorship. A subscription fee has never been the thing that creates copyright ownership, human creative contribution is, and vibe coding, by definition, minimises exactly that.
Myth 2: “My AI tool’s terms say I own the output, so I’m covered”
This one is more subtle, and it’s where a lot of founders get genuinely confused, because it’s partly true and partly not. Tool providers can and do assign whatever contractual interest they have in the output to you. GitHub’s current terms state it doesn’t claim ownership of Copilot input or output. OpenAI’s terms, effective 1 January 2026, state the user retains input rights and owns output as between the parties. Cursor’s terms, updated 13 January 2026, assign any interest Cursor has in suggestions to the user. Replit updated its terms on 23 February 2026 with its own distinct structure.
Here’s the gap: a provider assigning you whatever rights it has is a contractual matter. It says nothing about whether copyright exists in the first place. If the output lacks sufficient human authorship, there is no copyright for anyone to assign, the provider included, and a contract clause promising you ownership of something that isn’t legally protectable doesn’t create protection out of nothing. You can genuinely have a signed agreement saying “you own this” and still have nothing enforceable if a competitor copies it outright.
Myth 3: “If it works and nobody’s sued me, it’s mine”
This is the myth that causes the most damage, because it’s comfortable right up until the exact moment it stops being true. Working software and owned software are not the same thing. Code that lacks copyright protection because it wasn’t meaningfully human-authored can be copied by a competitor with no legal recourse available to you, since there’s no enforceable right to assert in the first place. This risk sits completely dormant, invisible in day-to-day operation, until you try to raise money, sell the company, license the product, or enforce against a copycat, precisely the moments when you need the ownership to actually exist and hold up. Our guide on the legal debt every fast-growing tech company is quietly accumulating covers exactly this pattern, gaps that cost nothing to ignore until the specific moment they become extremely expensive, and our due diligence guide covers how this kind of gap actually gets discovered and priced by a buyer’s or investor’s legal team.
Myth 4: “All AI coding tools have the same ownership terms”
They don’t, and most founders use more than one tool across a single codebase without realising the terms conflict. GitHub, OpenAI, Cursor, and Replit each have distinct, separately updated terms, and a coding editor that calls models supplied by a different company can add a third party’s terms into the mix entirely. Consumer-tier and business-tier accounts on the same platform can carry different terms again. If your codebase was built using several different tools over time, which it almost always is, you may be operating under several different, inconsistently drafted ownership positions simultaneously, without ever having reviewed any of them specifically.
The part almost nobody checks: open source contamination
AI coding tools are trained on enormous volumes of existing code, including open source repositories carrying licences like the GPL that impose real obligations, in some cases requiring that any code combined with them also be released under the same open licence. Vibe-coded output can resemble or directly incorporate training material without you ever knowing it, and similarity to open source material can trigger licensing obligations or infringement risk regardless of whether you understood the code well enough to notice. This can retroactively convert software you believed was proprietary into something you’re legally obligated to share.
Why this also creates a real security and liability problem, not just an ownership one
A December 2025 study by CodeRabbit, analysing 470 open-source GitHub pull requests, found code co-authored by generative AI contained roughly 1.7 times more major issues than human-written code, with 75% more misconfigurations and 2.74 times higher rates of security vulnerabilities. Ownership uncertainty and security risk tend to compound in the same direction: the less a human actually reviewed the code, the weaker both your IP position and your security posture become, at the same time, for the same underlying reason.
What actually protects you
Document human contribution at every stage. Detailed records of your prompts, iteration history, human review notes, and specific edits or creative arrangement decisions are what establish the human authorship courts and the Copyright Office actually look for. This needs to happen as you build, not reconstructed later from memory once it matters.
Get an explicit IP assignment in place regardless. Where contractors, freelancers, or team members are involved in vibe-coding any part of your product, a clear, signed assignment agreement is still essential, both as the contractual backstop and to establish exactly who was responsible for which parts of the codebase. Our complete IP assignment guide covers what this needs to include, and it matters just as much, arguably more, when AI is involved in the underlying work.
Know which parts of your product are more protectable than the code itself. Your prompts, system architecture, evaluation frameworks, and curated datasets can often be protected as trade secrets even where the generated code’s copyright status is uncertain, a genuinely important, underused fallback most founders don’t know to rely on.
Review your actual AI tool terms, not your assumption of what they say, before the tool becomes deeply embedded in your development process, since this is far easier to evaluate calmly now than during a dispute or a diligence deadline later.
Apply more scrutiny as the software’s value increases. A temporary internal script and your core, revenue-generating product don’t need, or deserve, the same level of IP diligence.
Frequently asked questions
Can I copyright an app that was mostly built by AI?
Not the AI-generated portions on their own. US law requires a human author for copyright protection, and the Supreme Court’s decision not to hear Thaler v. Perlmutter in March 2026 left standing the rule that purely AI-generated material falls outside copyright protection entirely. Portions you meaningfully wrote, arranged, or substantially edited yourself can still be protected.
If my AI coding tool’s terms say I own the output, am I fully protected?
Not necessarily. A provider assigning you its contractual interest in the output doesn’t create copyright where none exists. If the underlying output lacks sufficient human authorship, there’s no copyright for anyone, the provider included, to assign you in the first place.
Does it matter if I used more than one AI coding tool to build my app?
Yes, genuinely. GitHub, OpenAI, Cursor, and Replit each have distinct, separately updated terms, and using several tools across one codebase can mean different, inconsistent ownership positions apply to different parts of your product without you having reviewed any of them specifically.
When does unclear AI code ownership actually become a real problem?
Almost always at the worst possible moment: a fundraise, an acquisition, a licensing deal, or when a competitor copies your product and you discover you have no enforceable right to stop them. The risk sits invisible during normal operation and surfaces exactly when you need ownership to hold up under scrutiny.
What can I do to protect a product I’ve already vibe-coded?
Start documenting human involvement going forward, prompts, edits, review notes, and design decisions. Get explicit IP assignment agreements in place with anyone who contributed. Review your actual AI tool terms rather than assumptions about them. And consider whether your prompts, architecture, and datasets can be protected as trade secrets even where the code’s copyright status remains uncertain.
This article is general information, not legal advice. AI and copyright law in this area is actively developing and varies by jurisdiction. For advice on your specific product and its IP position, speak to a qualified lawyer.
Authored and reviewed by Prakhar Rai, Advocate, founder of My Legal Pal. Connect on LinkedIn.
If you’ve built a product using AI-assisted or vibe-coded development, getting your actual IP position assessed before a fundraise, acquisition, or dispute forces the issue is far cheaper than discovering the gap later. Our team reviews AI-assisted codebases, drafts IP assignment agreements, and advises on documentation practices that hold up. Speak to our contract lawyers in India or the USA, or get your contracts reviewed before you raise, sell, or license.
