Can Your Business Upload Client Content To An AI Tool?

Alex Solo
byAlex Solo10 min read

Using AI in business is becoming increasingly familiar. Your team might use it to summarize documents, prepare a first draft, analyze information or speed up everyday client work.

But where do you draw the line legally?

Say a client sends you a brief, a spreadsheet, some customer information and a folder of brand assets. Uploading everything into an AI tool could save your team hours. Before you do, though, there is another question to answer: does your business actually have the right to share that material with the AI provider?

Sometimes, the answer will be yes. However, having access to client content does not automatically mean you have unrestricted permission to upload it to a third-party AI platform.

Your client agreement, confidentiality obligations, intellectual property rights, privacy requirements and the AI provider’s own terms can all affect what your business is permitted to do.

Having Access To Client Content Does Not Mean You Can Use It However You Want

Clients regularly give businesses access to information so they can perform a particular service.

A marketing agency might receive brand assets and customer research. A software developer may be given access to existing source code. A consultant might receive financial information, internal reports or customer data.

That does not necessarily mean the business can use or disclose the material however it wants.

The client may have provided the content for the limited purpose of completing the agreed work. Your contract may also restrict disclosure to other parties or require particular information to remain confidential.

There may be separate copyright, licensing, privacy or trade secret issues as well.

So, before asking whether an AI tool technically lets you upload a file, start with a different question: what is your business actually allowed to do with the information inside it?

Start With Your Client Agreement

Your client contract is one of the most important places to look.

Depending on the relationship, this might be a Master Services Agreement, Consulting Agreement or another agreement setting out the services you provide.

The contract may explain how client information can be used, what must remain confidential and whether information can be disclosed to subcontractors, technology providers or other third parties.

For example, one agreement might allow your business to use third-party service providers where reasonably necessary to perform the work. Another might require client approval before confidential information is disclosed outside the business. Some clients may also impose their own security requirements or specific restrictions around the use of AI tools.

There is no universal clause that answers the question for every US business. The wording of the agreement and the state law that applies to it can both matter.

This is why your contracts should reflect how your business actually operates.

If AI tools have become part of the way you provide services, but your contract was written before your business ever used them, it may be worth having a legal expert review whether your existing terms properly cover confidentiality, third-party providers, data handling and client intellectual property.

A Business Contract Review can help identify gaps between what your agreement says and what your team is actually doing.

Who Owns The Content?

The next issue is intellectual property.

Client content might include photographs, written material, designs, presentations, training resources, research, software, source code or branding.

Some of that intellectual property may belong to the client. Some might belong to another person or business entirely.

Importantly, receiving a copy of something is not the same as receiving ownership of the copyright in it.

For example, a client may allow your business to use its photographs for a particular campaign. That does not necessarily give you an unlimited right to reproduce those photographs or provide them to another platform for another purpose.

That does not mean copyrighted material can never be used with an AI tool. The position can depend on who owns the material, the scope of any license or permission, what is being done with the content and whether an exception under copyright law applies.

For most businesses, though, the practical question is simpler: what rights were you actually given?

If a client has only given you limited permission to use its intellectual property, you should not assume that permission automatically extends to every AI tool or every possible use of the material.

What If The Content Is Licensed From Someone Else?

Sometimes neither your business nor the client owns the material.

A client might send you stock photography, an industry report, a dataset, software, a template or another licensed resource.

The fact that the client has lawfully obtained that material does not necessarily mean anyone working for them can use it without restriction.

A license may limit how material can be copied, shared, processed or made available to third parties. The exact position depends on the license itself.

For example, buying access to a commercial database does not automatically mean your business can upload a large portion of that database into an external AI platform. Similarly, a license allowing a business to use an image in its advertising does not necessarily grant every possible use of that image.

The safer approach is to check the license rather than assuming that lawful access equals unrestricted use.

Where data is being commercially licensed between businesses, a properly drafted Data License Agreement can also make permitted uses, restrictions and responsibilities much clearer.

Does The Content Include Confidential Information Or Trade Secrets?

Intellectual property ownership is only part of the picture.

You might be perfectly entitled to work with a client’s information and still have an obligation to keep it confidential.

This could include pricing strategies, financial information, customer lists, business plans, product designs, source code, unreleased campaigns or internal processes.

Those obligations may come from your main client contract, a separate Non-Disclosure Agreement or the circumstances in which the information was provided.

Trade secret law can also be relevant. Under the federal Defend Trade Secrets Act, whether information qualifies for protection depends in part on the owner taking reasonable measures to keep it secret and the information having economic value from not being generally known.

Uploading information to an external technology provider does not automatically mean trade secret protection disappears. However, how that information is handled, who can access it and what confidentiality and security protections remain in place can matter.

That makes it important to check what your business has already promised the client before sending commercially sensitive material to an AI provider.

What About Personal Or Customer Information?

Client documents may also contain information about customers, employees, contractors or other individuals.

A spreadsheet might include names and contact information. A client brief could contain employee records. A customer-support document might contain account information or other personal data.

The US does not have one comprehensive federal privacy law that applies in the same way to every business and every type of personal information. Obligations can vary depending on the state, industry, type of data, business and the role it plays in handling that information.

This means context matters.

Before uploading personal information into an AI tool, your business should understand what information is being shared, why it needs to be shared and what the provider will do with it.

Your existing promises to the client or customer also matter. If your contracts or privacy documents say information will only be used or disclosed in certain ways, your actual AI practices need to match those commitments.

Sprintlaw’s Data & Privacy services can help businesses put appropriate privacy documents and data arrangements in place where customer or client information is being handled.

Does The AI Provider Use Your Uploads For Training?

Even once you have established that your business is allowed to share the material, there is another set of terms to check: the AI provider’s.

Not every AI platform handles business information in the same way.

The rules can even differ between a provider’s consumer product, business account, enterprise service and API. A provider may also change how information is treated depending on settings or features being used.

This means it is worth checking whether inputs can be used to train or improve models, how long information is retained, who may be able to access it, whether subprocessors are involved and what security and deletion protections apply.

However, there is an important distinction here:

Even if the AI provider promises not to train on your content, your business still needs the right to upload that content in the first place.

A provider promising not to use your material for model training does not override an NDA you signed, expand the license you received or change the restrictions in your client agreement.

The two questions need to be considered separately.

Does Removing Names Or Details Solve The Problem?

A common workaround is to remove client names, customer details or other obvious identifying information before putting a document into an AI tool.

That can sometimes reduce risk, particularly where personal information is concerned.

However, it is not a complete legal solution.

Removing someone’s name does not change who owns a document’s copyright. It does not necessarily remove confidentiality obligations. Commercial information may still be sensitive or subject to trade secret protection, and contractual restrictions can continue to apply even where identifying details have been removed.

There can also be situations where supposedly anonymous information can still be connected back to a particular person or business when combined with other information.

So, instead of asking only whether the document has been anonymized, ask whether the remaining information is actually permitted to be shared and whether uploading all of it is necessary in the first place.

Sometimes a limited extract, hypothetical example or summary can achieve the same result without providing the AI provider with the full client file.

Should Your Contracts Address AI Use?

If AI genuinely forms part of how your business delivers its services, your contracts should not ignore how the business actually works.

That does not mean every agreement suddenly needs several pages of complicated AI provisions.

For some businesses, well-drafted provisions dealing with technology providers, confidentiality, subcontracting, intellectual property and data processing may already provide an appropriate framework.

For others, more specific AI provisions may make sense. For example, it may be useful to address whether third-party AI providers can be used, what types of client information can be processed, whether particular uses need client approval and how confidentiality, security and intellectual property will be handled.

Responsibility for AI-assisted work and the level of human review involved may also be worth addressing where they are relevant to the service.

The point is not to add an AI clause simply because AI exists. It is to make sure your contract reflects the service the client is actually receiving.

If your agreements have not kept up with the way your business now works, a Business Contract Review can help identify where changes may be needed.

Create Clear Rules For Your Team

Your contracts deal with what your business has promised externally. Your internal processes determine whether those promises are actually followed.

If employees and contractors use AI regularly, problems can arise when everyone is making their own decision about which tools to use and what information can be uploaded.

An AI use policy can create clear internal rules around approved tools, client content, confidential information, personal data, security and human review.

For example, your team might be allowed to use an approved AI platform to brainstorm generic campaign ideas but not upload a client’s unreleased marketing strategy or customer database without approval.

That kind of distinction is often much more useful than simply telling employees to “be careful with AI.”

Your internal policy should also match your client contracts and actual technology practices. If your contract promises one thing while your internal rules allow something different, that can create its own problems.

If your business already has an AI policy, an AI Policy Review can help check whether it still reflects the tools your team uses and the legal and commercial obligations your business needs to manage.

Key Takeaways

Using AI for client work is not automatically a legal problem. For many businesses, it is becoming an ordinary part of getting work done.

However, receiving client content does not mean your business has unrestricted permission to upload it anywhere.

Before sharing client material with an AI platform, it is worth checking:

  • what your client contract permits
  • who owns or licenses the material
  • whether confidentiality, trade secret or privacy obligations apply
  • what the AI provider can do with the information
  • whether your team has clear rules around AI use

The important thing is to make sure your contracts, policies and actual business practices line up.

If AI has become part of your workflow but your legal documents have not caught up, Sprintlaw can help review your business contracts, AI policies and Data & Privacy documents so they properly reflect how your business handles client content. You can reach us at (888) 449-8437 or team@sprintlaw.com for a free, no-obligations chat

Alex Solo
Alex SoloCo-Founder

Alex is Sprintlaw's co-founder and a legal technology leader. He holds law and media degrees from the University of Sydney and has been recognized by Australasian Lawyer, Lawyers Weekly and the Sydney Young Entrepreneur Awards for his work building Sprintlaw and improving access to business legal support.

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