The Legal Tech module of the DIFC Laws Certificate Programme seeks to give a holistic understanding of innovative applications of technology to different areas of legal practice and theoretical analysis of their fundamentals. It employs a methodological approach to leveraging tech in legal practice.
This course aims to:
- Examine current technologies and concepts and their effect on the nature and practice of law
- Explore requisite legal technology competencies and design considerations that maximize efficiency in practice
- Study and apply legal technology tools to specific practice areas and processes
- Explore use cases for legal technology tools available in the market
- Consider the role, function, and benefit of the legal e-marketplace concept and the unbundling of legal services
Session 1
Introduction to LegalTech (Big Data-Driven Transformation)
Monday, 7 Sep 2026 | 5:00 – 7:00 PM | Hybrid (In-person at DIFC Academy and Online via Teams)
- Learning Objectives:
- Understand the role of data in driving transformation within the legal sector.
- Learn about data collection methods and their associated legal and ethical implications.
- Explore online tools for data scraping and distinguish between public and private data.
Session 2
Introduction to AI Landscape and Use Cases in the Legal Sector
Tuesday, 8 Sep 2026 | 5:00 – 7:00 PM | Online via Teams
- Learning Objectives:
- Gain insights into the AI landscape, including machine learning, algorithms, and the analytics life cycle.
- Understand how AI and analytics are applied in the legal sector through various use cases.
- Explore the potential and limitations of AI in legal practices.
Session 3
Tools in LegalTech
Wednesday, 9 Sep 2026 | 5:00 – 7:00 PM | Online via Teams
- Learning Objectives:
- Learn about low code/no code solutions for experimenting with AI without the need for extensive coding knowledge.
- Focus on text-based AI tools, given their significance in the legal industry.
- Experiment with AI tools to understand their practical applications in legal contexts.
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