Source materials
Verify datasets, client content, public materials and licence scope.
AI LEGAL SERVICE
Generated Content and Intellectual Property
Assess training materials, inputs, outputs, ownership, licensing and infringement response.
SERVICE OVERVIEW
Objectives and scope of service
Generative AI connects source materials, model rules, user inputs and commercial distribution. We establish rights, use boundaries and response mechanisms across the chain.
REVIEW SCOPE
Six connected review areas
Input governance
Set user commitments, prohibited inputs and trade-secret controls.
Output rights
Assess status, human contribution, contractual allocation and restrictions.
Labelling and distribution
Review synthetic labels, advertising, personality rights and publishing.
Licensing
Structure licences for models, content, prompts, data and custom outputs.
Infringement response
Establish notice, evidence, removal, counter-notice and dispute procedures.
DELIVERABLES
Outputs for decision and implementation
- 01Source and rights verification table
- 02Commercial use guidance
- 03IP and licensing clauses
- 04Platform rules and complaint flow
- 05Risk assessment and response plan
STARTER MATERIALS
Materials for an efficient start
- 01Training or retrieval material description
- 02Licence and open-source terms
- 03Generation workflow
- 04Terms and platform rules
- 05Representative input and output
- 06Marketing and distribution plan
WORKFLOW
A review process with clear hand-offs
View workflow
Define
Confirm business objectives, system boundaries and review priorities.
Map
Map data, models, people, permissions, contracts and system actions.
Assess
Review materials, interview key roles and test representative scenarios.
Remediate
Prioritise controls, documents, product changes and responsible owners.
Verify
Review changes, record the version and set reassessment triggers.
FAQ
Questions about this service
Is AI-generated content always outside copyright?＋
The answer depends on the process, human contribution and applicable rules. Evidence, contracts and third-party risk remain central.
Does an open model allow unrestricted commercial use?＋
Check the model licence, weights, use policy, third-party components and the intended use.
Can outputs be managed at scale?＋
Yes. Controls can combine allowlists, scenario rules, similarity checks, sampling and complaint response.
Research
Related cases and rules
Consider the relevant cases and rules in the project’s target markets.
Case study · China
Beijing AI Text-to-Image Case
Evaluating prompt design, parameter adjustments, and the generation process, the court held that the disputed image reflected the user's intellectual investment and personalized expression, determining copyrightability and ownership on this basis.
Read case →Case study · ChinaShanghai AI Face-Swapping Case
A mini-program provided paid generation services by replacing facial features in original videos. The court held that localized face-swapping did not constitute an original adaptation and that the platform's commercial use infringed the right of dissemination through information networks.
Read case →Legal research · ChinaChina: Interim Generative AI Measures
The measures govern generative AI services offered to the public in China and address training data, generated content, personal information, security and complaint handling.
Read analysis →Legal research · ChinaChina: AI Content Labelling Measures
Providers, content distribution platforms and application stores must apply, verify and preserve explicit and implicit labels for AI-generated or synthetic content.
Read analysis →RELATED SERVICES
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SPECIALIZED ENQUIRY
Initiate Your Project Scoping
Share your product stage, system capabilities, data flows, and priority legal requirements. Our practice team will confirm the scope of engagement.