course | The Future of Legal Practice with AI
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LCCL-151 | The Future of Legal Practice with AI
Course Sector : Legal and Corporate Law
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 2025-04-06 | 2025-04-10 | El Doha | $4,250 | Book now |
| 5 Days | 2025-09-01 | 2025-09-05 | Abu Dhabi | $4,250 | Book now |
| 5 Days | 2025-11-10 | 2025-11-14 | Jakarta | $4,950 | Book now |
Course Introduction
Artificial Intelligence (AI) is transforming legal practice by automating tasks, improving efficiency, and providing data-driven insights. AI-powered tools help lawyers conduct research, draft documents, analyze case law, and predict legal outcomes. Understanding how AI is reshaping the legal field is essential for staying competitive, increasing productivity, and enhancing client services. Legal professionals must adapt to these changes to leverage AI for better decision-making and workflow optimization.
This training program explores the impact of AI on legal practice, focusing on automation, data analysis, ethical considerations, and future trends. Each day covers a key topic, combining theory with hands-on exercises and real-world case studies. Participants will learn how to integrate AI into legal workflows, use AI-powered legal research tools, and address ethical concerns. The course also highlights best practices for managing AI in law firms and legal departments.
Course objective
- Understand how AI is changing legal practice and workflow management.
- Learn to use AI-powered tools for legal research, document automation, and case analysis.
- Identify the ethical and regulatory challenges associated with AI in law.
- Develop strategies for integrating AI into legal operations and client services.
- Explore future AI trends and their impact on the legal profession.
Course Outline | Day 01
Introduction to AI in Legal Practice
- Understanding AI and its applications in law.
- Key benefits of AI in legal research and case analysis.
- How AI enhances contract review and due diligence.
- The role of natural language processing (NLP) in legal documents.
- AI-powered predictive analytics for case outcomes.
- The impact of AI on traditional legal roles and responsibilities.
Course Outline | Day 02
AI-Powered Legal Research and Document Automation
- Using AI tools for fast and accurate legal research.
- Automating document drafting and contract generation.
- AI-driven contract analysis and risk assessment.
- Enhancing case law review with machine learning.
- Reducing errors and improving compliance with AI.
- Hands-on training with AI-powered legal research platforms.
Course Outline | Day 03
Ethical and Regulatory Considerations
- Understanding the ethical concerns of AI in law.
- Bias and fairness in AI-driven legal decision-making.
- Data privacy and security risks in AI adoption.
- Compliance with legal industry regulations and AI policies.
- The role of human oversight in AI-assisted legal work.
- Addressing transparency and accountability in AI applications.
Course Outline | Day 04
AI in Litigation, Dispute Resolution, and Compliance
- AI applications in litigation strategy and case prediction.
- E-discovery and AI-driven evidence analysis.
- AI for contract dispute resolution and mediation.
- Compliance monitoring and regulatory tracking with AI.
- AI-powered risk management in corporate legal departments.
- The role of AI in automating due diligence processes.
Course Outline | Day 05
The Future of AI in Legal Practice
- Emerging trends in AI and legal technology.
- The role of AI in legal education and training.
- AI-driven innovations in access to justice and legal aid.
- Building AI-ready law firms and legal teams.
- Integrating AI with blockchain and smart contracts.
- Strategies for staying ahead in an AI-driven legal industry.
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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