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AI & Data Compliance

Compliance review and dispute support for AI applications, data processing, platform operations, algorithms, and content risks.

When You May Need This

These scenarios usually benefit from early legal assessment to control transaction, operational, or dispute risks.

AI product launch requires compliance assessment

Risks in data collection, use, sharing, or cross-border transfer

Platform content, recommendation algorithms, or user terms need standardization

Technology assets, training data, or trade secrets require protection

Services

We support clients from risk identification through document execution and implementation.

AI product compliance review
Data compliance systems
Algorithm and content risk review
Terms and privacy policies
IP and trade secret protection
Platform dispute handling

How We Work

We establish clear steps and communication points based on urgency and complexity.

  1. 01

    Map product functions, data flows, and responsibility boundaries

  2. 02

    Identify regulatory requirements, contractual duties, and IP risks

  3. 03

    Improve compliance documents, workflows, and controls

  4. 04

    Support complaint handling, regulator communication, or disputes

Key Deliverables

  • AI and data compliance assessment
  • Privacy policy and user terms
  • Data processing and authorization documents
  • Remediation checklist and dispute response plan

Who We Serve

  • AI companies
  • Platform companies
  • Data-intensive businesses
  • Content and technology teams

Frequently Asked Questions

General information on common questions in this practice area. Advice on a specific matter depends on its facts and documents.

What filings are required to offer generative AI services to the public?

Under the Interim Measures for the Management of Generative AI Services, services with public opinion attributes or social mobilisation capacity must undergo security assessment and complete algorithm filing, amendment and deregistration procedures. Services built on a filed foundation model generally register with the local cyberspace authority. Training data sources, personal information processing and content safety controls should be reviewed before launch.

Does AI-generated content need to be labelled?

Yes. The Measures for Labelling AI-Generated Synthetic Content, effective 1 September 2025, require providers to add explicit labels to generated text, images, audio and video, and implicit labels in file metadata. Content distribution platforms also have identification and notice duties.

What routes are available for transferring personal information outside China?

The statutory routes are a CAC security assessment, filing a standard contract for personal information export, or personal information protection certification. The Provisions on Promoting and Regulating Cross-Border Data Flows set out exemptions such as concluding and performing cross-border contracts and cross-border HR management. Map the data types, volumes and recipients first, then select the route.

Does a company need a personal information protection compliance audit?

The Measures for Personal Information Protection Compliance Audits took effect on 1 May 2025. Processors handling the personal information of more than 10 million individuals must conduct an audit at least every two years, and regulators may require a professional audit where they identify significant risks or incidents. Other companies may use the Measures as a periodic self-check.

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Research from Longan South China Institute

Long-form analysis by Longan lawyers, published on the Longan South China Institute site.

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