Vibe Coding Legal Risks: Does Your Company Own Its AI-Generated Software?

Vibe coding is a form of AI-assisted software development in which a person describes what software should do and relies on an AI coding tool to generate and revise much of the underlying code. The user may test the software, describe problems, and direct changes without necessarily reading or fully understanding every line of code the AI produces.

Tools such as Claude Code, GitHub Copilot, Cursor, and similar AI coding agents have made this increasingly practical for both programmers and non-programmers.

For businesses, the attraction is obvious. An employee can sometimes create in hours an internal tool or software feature that once would have required a developer, a budget, and weeks of work.

But there is a point at which a useful experiment becomes a company asset. When that happens, businesses should start asking questions that are easy to overlook while everyone is focused on whether the software works.

• Who wrote the code?

• Does the company own it?

• Can the company stop a competitor from copying it?

• Did the AI reproduce someone else's code?

• Did an employee disclose confidential information while creating it?

• And could the company answer those questions two years from now if a customer, investor, buyer, or opposing lawyer asked?

Those are becoming practical intellectual property questions for businesses using AI to create software.

Does the Company Own Code Created by AI?

That question can have two different meanings. The first is whether an AI provider claims ownership of the output. Some providers contractually disclaim ownership claims or allocate whatever rights exist to the customer. The second question is more fundamental: does copyright law protect the AI-generated code at all?

Those questions are not the same.

The U.S. Copyright Office has concluded that copyright protects AI-generated material only where there is sufficient human authorship. Using AI as an assistance tool does not prevent copyright protection, but merely providing prompts is generally not enough by itself. Human selection, arrangement, modification, and other creative contributions may be protectable.

That creates a spectrum.

At one end, an experienced programmer designs the architecture, uses AI to draft sections of code, reviews the work, rewrites portions, and makes the creative decisions that produce the finished application. At the other end, an employee tells an AI agent what the application should accomplish, repeatedly accepts generated code, reports errors, and continues prompting until the program works.

The first situation may involve substantial human authorship. The second presents a harder question. This matters because a company can have software that is commercially valuable without necessarily having strong copyright protection in every part of that software.

The company may be free to use the program while having less ability than expected to stop someone else from copying AI-generated portions. For a disposable internal tool, that may not matter. For software that differentiates the company's product, drives revenue, or is expected to become a valuable asset, it may matter a great deal.

What If the AI Produces Someone Else's Code?

The opposite ownership problem is also important. What if the company does not own exclusive rights in AI-generated code because portions of it originated elsewhere?

AI coding tools are trained on enormous quantities of existing software. Generated code can sometimes resemble existing code, including software governed by open-source licenses.

GitHub's current terms, for example, specifically warn that output from its AI features may resemble code or other material in training data or may be subject to third-party copyright or open-source license terms. GitHub places responsibility on users to determine whether a third-party license is required and advises users to review, test, and validate generated output.

GitHub's own description of Copilot makes the point even more clearly. It advises companies to apply the same safeguards to Copilot suggestions that they would apply to third-party code of unknown origin.

That is a useful way for businesses to think about vibe-coded software.

AI-generated code should not automatically be treated as infringing. But neither should a company assume that code is free of third-party obligations simply because the employee received it from an AI tool rather than copying it from a website. That risk becomes more significant when the employee creating the software is not an experienced developer and may not recognize code that should trigger further review.

Vibe Coding Can Also Create Trade Secret Problems

The code coming out of an AI tool is only half of the equation. Companies should also pay attention to the information going into it.

To solve a programming problem, an employee may provide an AI coding system with existing source code, technical specifications, customer requirements, proprietary algorithms, internal documentation, database structures, product plans, or other confidential information.

A coding agent may also be given direct access to repositories or other company systems. From the employee's perspective, the employee is simply giving the AI enough information to do its job. From an intellectual property perspective, the company may be disclosing proprietary information to a third-party service.

Whether that creates a meaningful confidentiality or trade-secret risk depends on the particular provider, product, account, contract, settings, and treatment of customer data.

Those distinctions matter.

For example, GitHub's current general terms for AI features provide for certain uses of user inputs and outputs to develop and improve AI technology, while also providing exceptions based on opt-out settings and separate customer or volume licensing agreements. (docs.github.com)

The lesson is that employees should not be left to make those decisions accidentally by choosing whichever consumer AI service happens to be convenient.

Free Accounts v. Enterprise Accounts

Businesses should also pay attention to which version of an AI coding tool employees are using. The legal protections can differ.

Vendor agreements may address ownership, use of prompts, treatment of customer information, infringement claims, indemnification, output filtering, liability limitations, and administrative controls.

Those protections may differ between individual and organizational subscriptions.

GitHub, for example, currently identifies IP indemnification as one of the differences between its individual and organizational Copilot offerings and conditions some indemnity protection on the use of specified filtering features. (github.com)

That means two employees at the same company could theoretically use the same underlying AI brand while creating very different legal risk depending on the account through which they access it.

This is why AI coding tools should eventually become a procurement and governance issue, not merely an employee preference.

When Does Vibe Coding Become a Business Issue?

Not every AI-generated script requires a committee meeting. The amount of diligence should reflect the importance of the software.

An employee who uses AI to rename a group of internal files presents a different risk from a company that uses AI-generated software in a customer product. Management should pay closer attention when AI-generated code:

• becomes part of a commercial product or service;

• performs an important internal business function;

• interacts with confidential customer or company information;

• incorporates or connects to existing proprietary software;

• is licensed or delivered to customers;

• is important to the company's competitive advantage;

• may become relevant to a financing, acquisition, or sale of the business; or

• is valuable enough that the company might someday need to enforce its intellectual property rights.

At that point, "someone made it with AI and it seems to work" is no longer enough.

Problems Often Appear After the Software Becomes Valuable

Vibe coding can create a peculiar timing problem. The legal questions are easiest to address when the software is being created, but that is often when nobody considers the software important enough to worry about. Years later, the situation can look different.

A buyer considering an acquisition may ask the company to identify third-party and open-source components in its software. A major customer may ask the company to represent that it owns the software and that using the product will not infringe third-party intellectual property rights. An investor may want to know whether the company's core technology is proprietary. A competitor may copy an important part of the product, causing the company to consider copyright litigation. Or the company may receive a demand claiming that part of its software came from someone else.

Each scenario produces essentially the same question: Can the company reconstruct how the software was created?

If the answer is no, an inexpensive shortcut during development can become an expensive problem during diligence or litigation.

What To Do About Vibe Coding?

For most companies, banning AI coding tools entirely is probably neither necessary nor realistic. A better approach is to distinguish casual experimentation from software that matters to the business.

Companies using AI coding tools should consider a few basic controls.

• Identify approved AI coding tools and account types. Employees should know which services may be used for company work rather than relying on personal accounts or whatever tool they happen to find online.

• Establish rules concerning confidential information. Employees should understand what source code, trade secrets, customer information, credentials, technical documents, and other proprietary material may or may not be provided to AI systems.

• Review commercially important AI-generated code. Depending on the application, that may include human code review, open-source or dependency scanning, security review, and testing.

• Document important software projects. A company does not necessarily need to archive every prompt, but it should preserve enough information to understand the role of employees, AI systems, third-party libraries, and outside code in creating important software.

• Review vendor terms before the tool becomes embedded in the company's development process. Ownership provisions, treatment of customer data, indemnification, confidentiality, and limitations of liability are easier to evaluate before a dispute arises.

Finally, apply more scrutiny as the value of the software increases. A temporary internal utility and a core customer-facing product should not receive the same level of IP diligence.

The Value of Knowing Where Your Code Came From

Vibe coding is likely to make software development cheaper and faster. It may also make software development less visible. That creates a governance problem for companies. An employee can now create a meaningful software asset before management realizes that anyone is developing software at all.

Businesses do not need to treat every AI-generated line of code as a legal emergency.

They should, however, recognize when experimental coding has become something the company intends to own, commercialize, license, sell, or protect.

At that point, the questions become familiar ones. Who created it? What rights does the company have? What third-party rights are involved? What confidential information was disclosed? And can the company prove the answers?

Vibe coding changes how quickly software can be created. It does not eliminate the need to know what the company actually owns.