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, Intermediate3 Hours
Live-Zoom
Certified
About the Course
AI Governance for Legal, Compliance, and Risk Teams
Beginner & Intermediate3 HoursLegal & ComplianceRisk Management
Equip legal, compliance, and risk professionals to position AI securely within regulatory compliance, contract management, 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
- Explain AI-related legal dimensions including liability, intellectual property, and data privacy
- Align AI usage with KVKK, GDPR, and the EU AI Act
- Design enterprise AI policies and approval mechanisms for responsible adoption
- Model risk scenarios for legal, reputational, and operational impacts
- Evaluate AI accuracy limits in contract and document review and implement human oversight
Who Should Attend?
- Legal Teams
- Law Firms
- Compliance Teams
- Leaders
- Information Security Teams
- Risk Professionals
Prerequisites
- Basic interest in the field
- Computer and internet access
Course Snapshot
Beginner & Intermediate, 3 Hours
Course Content
Artificial Intelligence and the Legal Landscape
AI Risks: Liability, Intellectual Property, and Data PrivacyAI Compliance and Regulatory Frameworks (KVKK, GDPR, EU AI Act)Corporate AI Policies and Governance FrameworksContinuous Monitoring and Auditing in AI Risk Management
Explore how artificial intelligence impacts the legal profession across liability, intellectual property, data privacy, regulatory frameworks (KVKK, GDPR, EU AI Act), contract and document review, risk assessment, corporate AI policies, approval mechanisms, and continuous monitoring. Includes a hands-on lab to create a legal risk map, approval workflow, responsibility matrix, and a draft Corporate AI Usage Policy.
Tools
- Microsoft 365 Copilot
- ChatGPT
- Notion AI
- Microsoft Purview
- IBM OpenPages
- ChatPDF
1 Module 1 Introduction to Artificial Intelligence and the Legal Landscape
- fundamental principles of how artificial intelligence works
- impact on the legal profession
- legal implications
- opportunities
- risk areas associated with AI adoption
20 Minutes
2 Module 2 AI Risks: Liability, Intellectual Property, and Data Privacy
- key legal risk areas arising from AI usage
- liability
- copyright
- intellectual property rights
- data ownership
- data privacy
30 Minutes
3 Module 3 AI Compliance and Regulatory Frameworks (KVKK, GDPR, EU AI Act)
- regulatory boundaries of AI
- KVKK
- GDPR
- EU AI Act
- key compliance requirements
- align AI initiatives with organizational policies and regulatory obligations
25 Minutes
4 Module 4 AI-Powered Contract and Document Review
- contract analysis
- document review
- legal text interpretation
- efficiency and accuracy benefits of AI
- critical importance of human oversight
20 Minutes
5 Module 5 Risk Scenarios and Impact Assessment
- inaccurate outputs
- data leaks
- algorithmic bias
- reputational damage
- assessing, prioritizing, and managing these risks
25 Minutes
6 Module 6 Corporate AI Policies and Governance Frameworks
- effective AI usage policies
- governance structures
- oversight mechanisms
- sustainable, compliant, and responsible AI governance model
20 Minutes
7 Module 7 Approval Mechanisms and Escalation Processes
- decision-making checkpoints
- approval workflows
- escalation procedures for AI usage
- implement control layers
- define clear accountability
20 Minutes
8 Module 8 Continuous Monitoring and Auditing in AI Risk Management
- ongoing AI monitoring
- auditing
- reporting
- continuous improvement
- long-term AI risk management
- compliance programs
20 Minutes
L1 Lab
- Create a legal risk map, approval workflow, and responsibility matrix for an AI use case scenario.
- Develop a draft Corporate AI Usage Policy, including scope, prohibited use cases, compliance requirements, and review procedures.
