Ai Legal, Regulatory and Compliance
With only 35% of companies having established Ai governance frameworks, organisations face significant risks from unmanaged Ai deployment. We develop enterprise-grade legal and organisational governance structures that enable innovation while ensuring regulatory compliance, ethical standards, and risk mitigation.
- Risk Classification Assessment
- Compliance Gap Analysis
- Implementation Roadmaps
- Technical Documentation
- Quality Management Systems
- Post-market Monitoring
- Conformity Assessment Preparation
- Biometric systems compliance (Article 5 prohibitions and requirements)
- General-purpose AI model compliance (Chapter V requirements)
- Testing in real-world conditions compliance (Articles 57-61)
- Data governance and quality requirements (Article 10)
- Transparency obligations (Article 13)
- AI system disclosure requirements
- User information requirements
- Documentation of AI capabilities and limitations
- Establishing quality management systems required under Article 17
- Preparing technical documentation per Annex IV requirements
- Developing required logging mechanisms and record-keeping systems
- Creating EU declarations of conformity
- Supporting registration in the EU database for high-risk AI systems
- Guidance through conformity assessment procedures
- Support with notified body interactions
- CE marking compliance
- Technical documentation assessments
- Quality management system assessments
- Setting up serious incident reporting systems
- Developing incident investigation procedures
- Creating corrective action protocols
- Establishing communication channels with authorities
- Incident documentation and tracking
- Designing organizational structures for AI oversight
- Establishing human oversight measures
- Developing risk management systems
- Creating post-market monitoring systems
Setting up incident reporting procedures
- Model Risk Management
- Deployment Guidelines
- Content Moderation Frameworks
- Output Validation Protocols
- Prompt Engineering Standards
- Usage Policies and Controls
- Copyright and IP Management
- Implementing right to explanation systems
- Setting up complaint handling mechanisms
- Creating remediation protocols
- Establishing appeal processes for algorithmic decisions
- Worker/employee information requirements
- Algorithmic Bias and Discrimination
- GDPR, CCPA, POPI, etc.
- Data privacy assessments and compliance
- Cybersecurity risk mitigation
- Data breach response and reporting
- Consumer privacy regulations