Workplace AI Use Policy Template

What Is a Workplace AI Use Policy?

A workplace AI use policy is the written rule set that tells employees how they may and may not use generative artificial intelligence tools such as ChatGPT, Claude, Copilot, and Gemini in the course of their work. It names the tools the company has approved, lists the categories of information that must never be entered into a public model, sets the standard for reviewing AI output before anyone relies on it, and explains when an employee has to disclose that AI helped produce their work. It is the document a company adopts to capture the productivity of AI without losing control of its confidential information, its legal compliance, or the quality of its work product.

The need is immediate because adoption has run ahead of governance. Surveys consistently find that a large share of employees already use AI tools at work, and many do so without telling anyone. Every one of those prompts is a decision about company data that no one reviewed. A workplace AI policy replaces that silent, ad-hoc behavior with a clear standard everyone signs and understands, so the company gets the benefit of the technology while closing the legal and security gaps it opens.

Why Every Employer Needs One Now

Generative AI moved into the workplace faster than any technology in memory, and the early mistakes were instructive. In 2023, shortly after employees at a major electronics manufacturer pasted internal source code into a public chatbot to debug it, the company restricted use of the tool, an early warning that a single helpful prompt can expose a trade secret. Surveys since then have consistently found that a large share of employees use AI at work, and that many do so without telling anyone. Every one of those prompts is a decision about company data that no one reviewed.

Regulators and lawmakers responded quickly. New York City's Local Law 144, requiring a bias audit of automated hiring tools, took effect in 2023. Colorado enacted the first comprehensive state AI law, SB 24-205, in 2024, with obligations phasing in during 2026. The European Union's AI Act became law in 2024. At the same time, the U.S. Copyright Office confirmed that purely AI-generated work cannot be registered for copyright, raising the question of what AI-assisted work a company actually owns. A written policy is how an employer captures the productivity of these tools while closing the legal and security gaps they open, rather than discovering the gaps after a leak or a lawsuit.

Why Employers Need One

The exposure here is not hypothetical, and it tends to arrive the same few ways.

Leakage is the obvious one. Most consumer AI tools reserve the right to use submitted content to train their models. When an employee pastes confidential material into a public tool, the company may lose control of it permanently. Under the Defend Trade Secrets Act, 18 U.S.C. section 1836 and following, trade-secret protection depends on the owner taking reasonable measures to keep the information secret. A written policy prohibiting confidential data in unapproved tools is precisely the kind of reasonable measure a court expects to see, and its absence is evidence the company did not protect its own secrets.

Then there is reliance on bad output. Generative models produce confident text that can be wrong, biased, or infringing. An employee who ships a hallucinated statistic, a discriminatory screening result, or a passage copied from a protected work exposes the company to liability the company never saw coming. The policy answers this by requiring human verification before AI output is used, and by prohibiting AI as the sole basis for consequential decisions.

And then ownership gets murky. As covered below, purely AI-generated material may not qualify for copyright at all, which means competitors could copy it freely. A company that does not track how much of its work product is human-authored cannot know what it actually owns. The policy fixes this with disclosure and record-keeping duties that work alongside the company's employment contract and work for hire agreement.

What the Policy Covers

A workable policy has four moving parts, each one turning a vague worry into a rule an employee can actually follow.

The Laws Your AI Policy Has to Track

A serious policy is not generic boilerplate. It maps to the specific statutes that govern data, hiring, and AI systems, which is what makes it a compliance tool rather than a memo.

Trade secrets and confidentiality

The Defend Trade Secrets Act (18 U.S.C. section 1836 and following) and state trade-secret laws condition protection on reasonable secrecy measures. The policy's prohibited-data rules and approved-tools list are those measures in writing. The policy also reinforces the obligations in any non-disclosure agreement the employee or company has signed, since pasting NDA-protected material into a public tool can breach that agreement directly.

Data privacy

The California Consumer Privacy Act, as amended by the California Privacy Rights Act (Cal. Civ. Code section 1798.100 and following), gives consumers rights over their personal information and obligates businesses to protect it. Entering customer personal data into a public AI tool can violate those duties and the company's own privacy commitments. For companies handling European data, the GDPR adds strict limits on processing personal data, including automated processing. The policy ties the prohibited-data list directly to these obligations.

AI in hiring and consequential decisions

New York City's Local Law 144 requires a bias audit and candidate notice before an automated employment decision tool is used. The Colorado Artificial Intelligence Act (SB 24-205) imposes duties on deployers of high-risk AI systems that make consequential decisions, including in employment, lending, and housing, with obligations phasing in during 2026. The policy requires that any AI touching hiring or personnel decisions pass through legal and human-resources review rather than being adopted by an individual manager.

Copyright and the EU AI Act

On ownership, the United States Copyright Office and the decision in Thaler v. Perlmutter hold that works lacking human authorship cannot be registered, so heavily AI-generated output may not be protectable. For multinational employers, the EU Artificial Intelligence Act (Regulation 2024/1689) classifies AI systems by risk and imposes transparency and governance duties that began phasing in from 2025. The multinational version of the policy cross-references these obligations so a single document works across jurisdictions.

AI Laws at a Glance, and What the Policy Does About Each

A serious AI policy is a compliance tool, not a memo. The table maps the laws that govern data, hiring, and AI systems to the specific thing the policy does to satisfy each one.

AI law is changing quickly; confirm current obligations for your jurisdictions. Linked statutes appear in Legal Authorities & Sources below.

State AI-Employment and Privacy Laws to Map Your Policy Against

Beyond federal law, two fast-growing bodies of state law shape a workplace AI policy: laws that govern AI in hiring and employment, and the comprehensive consumer-privacy laws that constrain what employee and customer data may be fed into AI tools. 22 states now have a comprehensive privacy law. If your company operates in any of the jurisdictions below, the policy should be tuned to them.

AI in hiring and employment, by jurisdiction

States with a comprehensive consumer-privacy law

Compiled from primary state statutes and verified against legislative sources in 2026. AI-employment and privacy laws are being enacted and amended rapidly; confirm current obligations for your jurisdictions.

Workplace AI Use Policy Preview

Below is a visual preview of the sections the policy includes. Your completed policy is fully formatted and customized to your company size, posture, and regulated sector.

How to Fill Out the Workplace AI Use Policy

The template asks a short series of questions and assembles the policy from your answers. Here is what each step covers.

1. 1. Company and posture

   Enter the company name and choose your overall posture: permissive, where AI is encouraged within guardrails, or restrictive, where AI is allowed only for approved tasks. The posture sets the default tone for the rest of the policy.

2. 2. Regulated sector

   Select whether you operate in healthcare, financial services, legal, or another regulated field. This expands the prohibited-data list and adds the sector-specific duties that apply to you, such as HIPAA for health data.

3. 3. Approved tools

   List the AI tools employees may use and name the person or team that approves new ones. Leaving this blank invites shadow use, so name at least the enterprise tools you have vetted.

4. 4. Prohibited data categories

   Confirm or adjust the categories of information employees may never enter into a public tool. The default list covers trade secrets, PII, PHI, source code, and nonpublic financial data; add anything specific to your business.

5. 5. Output review and disclosure

   Set the review standard, for example that a qualified human must verify AI output before it is used externally, and decide when employees must disclose AI assistance to clients or in deliverables.

6. 6. Hiring and consequential decisions

   Choose whether to include the hiring-AI controls that require legal and HR review under laws like NYC Local Law 144 and the Colorado AI Act. Include them if AI touches any personnel decision.

7. 7. Acknowledgment and review

   Add the employee acknowledgment block and the review-and-update clause. Then download the policy as a PDF or Word file and distribute it for signature, or send it through the built-in e-sign flow so every employee acknowledgment is on record.

Key Terms Defined

A few terms carry specific meaning in a workplace AI policy. Here is what each one means.

Generative AI

Artificial intelligence tools such as ChatGPT, Claude, Copilot, and Gemini that generate new text, code, images, or audio in response to prompts.

Shadow AI

Employee use of AI tools that the company has not approved or does not know about, the main risk a written AI policy is designed to eliminate.

Prompt

The text or data an employee submits to an AI tool. Every prompt is a disclosure decision, because many public tools may use submitted content to train their models.

Prohibited data

Categories of information that must never be entered into a public AI tool, including trade secrets, customer and employee personal information, source code, protected health information, and nonpublic financial data.

Automated employment decision tool (AEDT)

An AI system used to screen, rank, or evaluate job candidates or employees. NYC Local Law 144 requires a bias audit and candidate notice before an AEDT is used.

Trade secret

Confidential business information that derives value from being secret and is protected under the Defend Trade Secrets Act only if the owner takes reasonable measures to keep it secret.

Policy vs Related Documents

Legal Authorities & Sources

This page is grounded in primary law. The statutes and official resources below are the authorities behind the guidance above. Verify the current text of any statute before relying on it.

• Defend Trade Secrets Act, 18 U.S.C. section 1836 et seq.
• California Consumer Privacy Act / CPRA, Cal. Civ. Code section 1798.100 et seq.
• NYC Local Law 144 (automated employment decision tools)
• Colorado Artificial Intelligence Act, SB 24-205
• EU Artificial Intelligence Act, Regulation 2024/1689
• U.S. Copyright Office, Copyright and Artificial Intelligence

Frequently Asked Questions