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1. Introduction 2. Background of AI in Legal Practice 2.1. Evolution of AI Technologies 2.2. Current Use of AI in Law 2.3. AI Adoption in Mauritius 3. Opportunities of AI in Legal Profession 3.1. Efficiency and Productivity Gains 3.2. Enhanced Legal Research 3.3. Automation of Routine Tasks 4. Risks Associated with AI Adoption 4.1. Data Privacy Concerns 4.2. Dependency on AI Tools 4.3. Security Vulnerabilities 5. Ethical Implications for Legal Practice 5.1. Client Confidentiality Issues 5.2. Bias and Fairness in AI 5.3. Accountability in AI Decision-Making 6. Regulatory Landscape in Mauritius 6.1. Existing Legal Frameworks 6.2. Regulatory Challenges 6.3. Potential Reforms 7. Case Studies of AI Implementation 7.1. Successful AI Implementations 7.2. Lessons from Failed Initiatives 7.3. Comparative International Examples 8. Recommendations for Legal Stakeholders 8.1. Best Practices for AI Adoption 8.2. Training and Education Needs 8.3. Future Research Directions 9. Conclusion
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