This FAQ addresses common legal, governance, and IP questions from large entertainment and gaming companies evaluating Layer for in-game content production.
1. Who owns the assets generated on Layer?
You retain full ownership of:
Your uploaded content
Your prompts and inputs
All generated output
Layer does not claim any ownership rights over your generated assets.
Customer Content and Generated Content remain your Confidential Information and are contractually protected.
2. Can we copyright AI-generated assets?
Copyright eligibility depends on jurisdiction and level of human contribution.
Under current U.S. Copyright Office guidance:
If you provide protected input (e.g., your own character IP) and generate variations, the human-authored elements remain protected.
If you modify, arrange, enhance, or materially transform AI-generated content, those human contributions may qualify for protection.
Purely prompt-based output with no meaningful human modification may not qualify for copyright protection.
Many enterprise studios address this operationally by requiring human review and creative modification before publication.
Layer supports this process by providing:
Full generation logs
Asset metadata
Model usage traceability
Workspace-level activity tracking
This allows teams to document creative involvement when needed.
3. Does Layer use our assets to train models?
No. Layer:
Does not use customer content to train or retrain foundation models
Does not combine or co-mingle your data with other customers
Does not share usable customer data with model providers
Customer environments are logically segregated and private. Customer Content and Generated Content remain confidential and isolated within your workspace.
4. Who trained the AI models used on Layer?
Layer provides access to AI models developed by leading research labs and model providers. Layer:
Does not train foundational models
Holds appropriate commercial rights to operate the models made available in-platform
Allows customers to enable or disable models at the admin level
Where customization is offered, models can be guided or fine-tuned using your licensed IP within a private environment.
5. What happens if there is an IP infringement claim?
Layer’s enterprise agreements typically include indemnification structures. This shared-risk model is common in enterprise AI deployments.
7. How does Layer support privacy and compliance?
Optionally enter into custom Data Processing Agreements (DPAs)
Complies with applicable Data Protection Laws
Maintains administrative, physical, and technical safeguards
Provides audit rights where required
Maintains technology/cyber liability insurance
Layer is built to operate within regulated, IP-sensitive environments.
8. Can we audit activity inside the platform?
Yes. Layer provides:
Workspace-level activity logs
Model usage tracking
Asset generation timestamps
Embedded metadata in exported files
Admin controls for model governance
SSO / SCIM integration options
This ensures transparency, auditability, and internal compliance.
9. Can we control which AI models are available to our teams?
Yes. Enterprise customers can:
Enable or disable specific models
Restrict access by team or role
Integrate with internal identity systems
Maintain controlled, isolated environments
Layer is designed as a private AI workspace, not a public generative platform.
Summary
Layer is best at accommodating the needs of large IP entertainment companies that require:
Clear ownership of outputs
Data isolation and non-training guarantees
IP indemnification structures
Governance controls
Auditability and compliance readiness
Enterprise-grade security and insurance coverage
For additional legal documentation, please contact your Layer account representative.