Responsible AI: Law, Policy, Risk Scenarios, Approval Mechanisms
This course equips legal, compliance, and risk professionals with the skills to safely integrate artificial intelligence within regulatory compliance, contract management, and corporate risk frameworks.
Beginner, Intermediate18 Hours
Live-Zoom
Certified
About the Course
AI Governance For Legal, Compliance, And Risk
Beginner & Intermediate18 HoursHands-On
Equip legal, compliance, and risk professionals to implement AI securely within regulatory, contract, and enterprise risk frameworks, ensuring transparent, auditable, and compliant use across legal processes.
Category
Legal Teams, Law Firms, Compliance Teams, Leaders, Information Security Teams
Curriculum
Hands-On, Tool-Based Learning
Learning Outcomes
- Understand AI’s legal dimensions, including liability, intellectual property, and data privacy, to mitigate legal risks
- Align AI usage with KVKK, GDPR, and the EU AI Act
- Design enterprise-wide AI policies and approval workflows for responsible adoption
- Model risk scenarios to prepare for legal, reputational, and operational risks
- Recognize AI accuracy limits in contract and document review and implement effective human oversight
Who Should Attend?
- Legal teams
- Law firms
- Compliance teams
- Risk professionals
- Leaders
- Information security teams
Prerequisites
- Basic interest in the field
- Computer and internet access
Secure, Auditable AI For Legal Workflows
Apply AI responsibly across compliance, contracting, and enterprise risk with clear governance controls.
Course Content
AI Legal Framework, Risk, and Governance
Legal and RegulatoryAI GovernanceRisk & ComplianceHands-on Lab
A practical program covering how AI works in legal contexts, core risk areas, regulatory compliance (KVKK, GDPR, EU AI Act), contract and document review with AI, governance structures, approval and escalation workflows, and continuous monitoring—culminating in a hands-on lab to produce tangible governance artifacts.
Tools
- Microsoft 365 Copilot
- ChatGPT
- Notion AI
- Microsoft Purview
- IBM OpenPages
- ChatPDF
1 Module 1 Introduction to AI and the Legal Framework
- Explain how modern AI systems work and common capabilities/limitations
- Assess AI’s impact on legal practice and operations
- Identify legal implications and key AI risk areas
- Build a shared foundation of concepts and terminology
Duration: 120 minutes
2 Module 2 AI Risks: Liability, Intellectual Property, and Data Privacy
- Analyze liability exposure in AI-enabled processes and outcomes
- Evaluate copyright and data ownership considerations
- Address data privacy risks in AI applications
- Examine real-world scenarios illustrating emerging legal risks
Duration: 150 minutes
3 Module 3 AI and Regulatory Compliance (KVKK, GDPR, EU AI Act)
- Define boundaries for AI usage under KVKK, GDPR, and the EU AI Act
- Translate regulatory requirements into organizational practices
- Align internal processes with compliance obligations
- Map roles and responsibilities to regulatory expectations
Duration: 150 minutes
4 Module 4 AI in Contract and Document Review
- Use AI tools for contract analysis and document review
- Interpret legal texts with AI while ensuring accuracy
- Balance efficiency gains with essential human oversight
- Establish review and validation checkpoints
Duration: 135 minutes
5 Module 5 Risk Scenarios and Impact Analysis
- Evaluate scenarios: inaccurate outputs, data leakage, and bias
- Assess reputational and operational impacts
- Prioritize risks using structured methods
- Define mitigation options for critical scenarios
Duration: 135 minutes
6 Module 6 Enterprise AI Policy and Governance Structure
- Design enterprise AI usage policies and guidelines
- Build governance frameworks and control mechanisms
- Integrate compliance and risk controls into workflows
- Develop sustainable, organization-wide governance models
Duration: 120 minutes
7 Module 7 Approval Mechanisms and Escalation Processes
- Define decision points and approval workflows for AI use
- Establish escalation paths for exceptions and incidents
- Set control layers and segregation of duties
- Clarify responsibility and accountability distribution
Duration: 135 minutes
8 Module 8 Continuous Monitoring and Audit in AI Risk Management
- Implement continuous monitoring for AI systems
- Conduct auditing, reporting, and issue tracking
- Drive iterative improvement of controls and processes
- Sustain long-term risk management and governance strategies
Duration: 135 minutes
