Data and role map
Identify sources, purposes, flows, storage and participant roles.
AI LEGAL SERVICE
AI and Data Compliance
Map data sources, processing roles, purposes, flows and controls across AI systems.
SERVICE OVERVIEW
Objectives and scope of service
AI creates new data paths across training, retrieval, interaction and improvement. We assess personal information, important data, trade secrets and third-party data against the actual system architecture.
REVIEW SCOPE
Six connected review areas
Processing rules
Assess legal basis, notice, consent, minimisation, retention and rights handling.
Knowledge governance
Review ingestion, access, retrieval, citation, update and deletion controls.
Supply-chain review
Review model, cloud, data and annotation vendors and contract allocation.
Cross-border data
Identify transfer paths and prepare the applicable assessment and records.
Incident response
Address misuse, leakage, excessive retrieval and abnormal output.
DELIVERABLES
Outputs for decision and implementation
- 01AI data activity and role inventory
- 02Data-flow and control map
- 03Legal assessment report
- 04Revised notices, consents or contract clauses
- 05Remediation plan and review record
STARTER MATERIALS
Materials for an efficient start
- 01Product and business description
- 02Architecture and data-flow diagrams
- 03Data, model and vendor lists
- 04Privacy notices and terms
- 05Internal data and security policies
- 06Representative prompts, retrievals and outputs
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
Does an internal knowledge base require review?＋
Yes. Internal uses may still involve personal information, trade secrets, client materials and third-party rights.
What matters when using an external model API?＋
Key points include training use, retention, subprocessors, transfers, incidents, output responsibility and deletion on exit.
Can this include a privacy impact assessment?＋
Yes. The scope can integrate impact assessment, transfer analysis, vendor review and policy updates.
Research
Related cases and rules
Consider the relevant cases and rules in the project’s target markets.
Case study · Germany
EU SCHUFA Scoring Case
A credit agency automatically generated credit scores for use by third parties such as banks. The Court of Justice of the European Union held that when a score plays a decisive role in a third party's decision, the scoring activity constitutes automated individual decision-making governed by Article 22 of the GDPR.
Read case →Case study · ChinaBeijing AI Voice Case
Audio recordings were used to create an AI voice product capable of generating arbitrary text-to-speech voiceovers. The court held that voice rights protect AI-synthesized voices when the voice leads the public to associate it with a specific natural person.
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 · European UnionEU Artificial Intelligence Act
The AI Act uses a risk-based framework for prohibited practices, high-risk systems, general-purpose AI models and transparency duties, including rules that reach some providers outside the EU.
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.