Midjourney Risks, Limits and Governance Rules to Set First

Midjourney’s terms grant paying users broad rights to use the images they create, with conditions, for example for larger companies above a revenue threshold who need a higher plan. Owning or being allowed to use an output is not the same as having protection for it, though. In the United States, the Copyright Office has said that material generated by AI without sufficient human authorship is not protected by copyright, and other jurisdictions are still forming their positions.

In practice, this means competitors may be able to copy a purely generated image without legal consequence. For logos, mascots or key brand assets that you need to protect, Midjourney output should be a starting sketch that designers rework, not the final asset.

Midjourney, like several image model makers, faces lawsuits from artists over training on copyrighted works. The outcome is unknown at the time of writing. For most brands the practical risk is not the lawsuit itself but output that closely resembles a specific artist’s work or a known image. Avoid prompts that name living artists or ask for a style “in the manner of” a specific creator, and check outputs for close resemblance to existing work.

Quality has improved a lot, yet some limits remain:

• Text in images is better than before but still unreliable for exact wording, logos and product labels.
• Product accuracy: the model invents details, so real products rarely come out correct.
• Consistency: keeping the same character or setting across many images needs extra features and effort.
• Hands, crowds and complex interactions can still show errors on close inspection.
• Visibility: on some plans, generations are public in the gallery unless you use a mode that hides them. Check this before working on unreleased campaigns.

The visibility point is often missed. An unreleased product concept generated in public mode can be seen by others.

A short written policy prevents most problems. These rules cover the essentials:

• Approved uses: moodboards, concept exploration, backgrounds and illustration. Not for depicting real products as photographs, not for real people.
• Banned prompts: names of living artists, real people, competitor brands and trademarked characters.
• Privacy: confidential campaign work only in a private or stealth mode, on an account owned by the company.
• Review: a designer checks every image at full size for artefacts, text errors and resemblance to existing work before use.
• Logging: prompts, settings and the final image are saved with the project file.
• Disclosure: AI-generated realistic images are labelled where platforms or clients require it.

Account ownership

Use company-owned accounts with clear access control. If a freelancer generates images on a personal account, the prompts and history leave with them, and the plan’s terms may not cover your company’s size.

Make review a step in the workflow, not a good intention. In tools such as Asana, Monday or Jira, add a field for “AI-generated: yes/no” and require a named reviewer before the task can close. Reviewers should run a reverse image search with Google Lens or TinEye on images that look suspiciously familiar. It takes a minute and catches near-copies.

A review checklist keeps the step quick and consistent:

• Full-size check for artefacts, extra limbs, warped text and broken edges.
• Reverse image search for close resemblance to existing work.
• No recognisable person, logo or trademarked character unless approved.
• Prompt and settings saved with the project.
• Disclosure label added where the channel requires it.

Do not use it where accuracy is the point: product photography, before-and-after imagery, real locations presented as real, news or documentary content, and anything in regulated sectors where an image could be read as a claim. Do not use it to create images of real people, including your own staff, without consent and a very clear reason.