AI video is moving from experimental novelty to a practical production tool, but every render carries legal risk. If you're creating brand content, ads, or any monetized video with generative AI, you need a review process that catches problems before they reach the public. This guide walks you through building a legal review workflow that fits into your existing production pipeline.
What is a key legal risk when using AI video for brand content?
Select one answer.
Start with a risk assessment
Before you build a workflow, you need to know what you're looking for. Legal risks in AI video fall into three main categories: likeness rights, disclosure obligations, and copyright ownership. Each requires a different review step.
Likeness rights are the most immediate concern. If your AI video uses a real person's face, voice, or name—living or deceased—you may be violating their right of publicity. As Kerry O'Shea Gorgone, JD, MBA, explains, Bob Ross's likeness and voice are still owned by his estate, and using them in a brand video without permission could violate that right. The same applies to Stephen Hawking's image and synthesized voice, which could cross into false endorsement or misrepresentation.
Disclosure rules are also critical. The EU AI Act's Article 50 requires transparency for AI-generated content, and the FTC in the US has been clear about deceptive practices. As TechSmith notes, AI-generated video, audio, and avatars may trigger transparency rules. You need to know where your content will be distributed and what disclosure labels are required.
Copyright ownership is the third pillar. The U.S. Copyright Office has been examining AI-generated works, and its Part 2 report addresses the copyrightability of outputs created using generative AI. In general, human authorship is required for copyright protection, so purely AI-generated content may not be protectable. Your workflow should document the level of human creative input.
Build a four-step review workflow
A legal review workflow doesn't have to slow you down. The key is to integrate it into your existing production stages, not bolt it on at the end. Here's a practical structure:
Step 1: Intake and triage
At the start of any project, create a simple checklist that flags high-risk elements. Does the script reference a real person? Does the visual concept include a recognizable face or voice? Is the content going to run in the EU or on platforms with strict disclosure rules? This triage step determines how deep the legal review needs to go.
Step 2: Pre-production review
Before you generate any footage, review the script and storyboard for potential issues. This is the cheapest time to catch problems. For example, if your AI video features a celebrity lookalike, you can either get permission or fictionalize the character. As the Illinois State Bar Association advises, contracts should specifically address AI uses, including permitted uses and platforms. If you're working with talent, make sure your contracts cover AI-generated versions of their likeness.
Step 3: Post-production compliance check
After you've generated your video, run a compliance check before final delivery. This includes:
- Likeness audit: Review every frame for any real person's face, voice, or distinctive traits. If you find one, confirm you have written permission or replace it.
- Disclosure verification: Check whether the platform or jurisdiction requires an AI-generated content label. The EU AI Act and some US state laws have specific requirements.
- Copyright documentation: Keep a record of your creative inputs—prompts, edits, and human direction—to support any copyright claim.
Step 4: Final sign-off and logging
Create a sign-off form that documents the review. This protects you if a dispute arises later. Include the date, the reviewer's name, and the specific checks performed. Store this with your project files.
Use AI to streamline the review
Legal teams are already using AI to handle repetitive review tasks. As Thomson Reuters reports, AI can streamline contract review and compliance analysis, freeing lawyers for strategic work. In your workflow, you can use AI tools to scan transcripts for names, flag potential likeness issues, or check disclosure language against a compliance checklist.
But remember: AI is a tool, not a replacement for human judgment. As Glean notes, AI should be applied to operational layers—intake, retrieval, review, routing—with clear permissions and human oversight. The final call should always be made by a person.
Practical checklist for your next AI video project
- Identify all real people referenced in the script or visuals
- Obtain written permission for any likeness use, or fictionalize
- Check platform and jurisdiction disclosure requirements
- Document human creative inputs for copyright purposes
- Run a final compliance check before publishing
- Store all review records with the project files
How the Featured Expert Can Help
If you're building an AI video production pipeline and want to ensure your workflow is both creative and compliant, Parallax Black offers a boutique AI video production service that blends human creative direction with AI-accelerated filmmaking. Led by visual artist Adam Norton, the studio focuses on character consistency and professional finishing, helping brands avoid the 'algorithmic' look while maintaining high-end cinematic quality. They can help you integrate legal review steps into your production process without sacrificing speed or creative integrity.
Quiz
Question: What is a key legal risk when using AI video for brand content?
- Using too many colors in the video
- Using a real person's likeness without permission
- Making the video too long
Correct Answer: Using a real person's likeness without permission