Practical IP & Privacy Tips for Using AI in Your Business

Learn 6 practical steps your organization can take today, including how to treat AI tools like third-party vendors, clarify ownership of AI-generated content, and implement a basic internal AI use policy

1. Treat AI Tools Like Any Other Third‑Party Vendor

Before using an AI platform:

• Review the terms of service, especially how data is stored, reused, or used to train models

• Confirm whether prompts, inputs, or outputs are retained or shared

• Prefer enterprise or paid versions that offer data isolation and stronger confidentiality protections

Tip: If you wouldn’t share sensitive information with a vendor under NDA, don’t share it with a public AI tool.

2. Never Input Confidential or Proprietary Information into Public AI Tools

Employees should not enter:

• Trade secrets or proprietary algorithms

• Customer or employee personal data

• Financial, legal, or strategic plans

• Source code (unless approved and protected)

Tip: Establish a clear “do not input” list and include it in your AI usage policy and employee training.

3. Clarify Ownership of AI‑Generated Outputs

Not all AI outputs are automatically owned by your company.

• Some AI platforms place limits on ownership or reuse rights

• AI‑generated content may not always qualify for traditional IP protection

• Human involvement often strengthens IP ownership claims

Tip: Require human review, editing, or decision‑making before AI‑generated content is finalized or commercialized.

4. Implement an Internal AI Use Policy (Even a Simple One)

Every company—regardless of size—should have a basic AI policy that:

• Defines approved AI tools

• Sets rules for acceptable use

• Addresses IP, confidentiality, privacy, and ethics

•  Assigns responsibility for oversight

Tip: A 1–2 page policy is far better than none—and can evolve over time.

5. Train Employees on “Responsible AI” Use

• Most AI risk comes from unintentional misuse, not bad intent.

• Educate employees on privacy, IP, and bias risks

•  Provide examples of appropriate vs. inappropriate use

• Encourage questions and transparency

Tip: Make AI literacy part of workforce development—especially for youth and early‑career employees. 

6. Watch for IP Infringement Risks in AI Outputs

AI systems may generate content that:

• Resembles copyrighted material

• Incorporates protected trademarks or designs

• Creates licensing or attribution risks

Tip: Treat AI outputs as drafts, not final products—especially for marketing, software, and creative work.