Programme outline
Learning objectives
By the end of the course, participants will learn:
- The basic principles and potential applications of Generative Artificial Intelligence (AI) in the legal domain.
- How to recognise the importance and basics of prompt engineering in enhancing AI performance.
- How to identify opportunities to apply Generative AI to simplify legal tasks.
- To have Initial hands-on experience with AI tools and technologies.
- How to evaluate the potential impact of Generative AI on their own legal practice.
Day 1
- Introduction to Generative AI in Legal
- Basic concepts of generative AI
- Potential impact of AI on the legal industry
- Overview of Large Language Models (LLMs)
- Introduction to LLMs and their capabilities
- Examples of LLM applications in legal contexts
- Basics of Prompt Engineering
- Fundamental principles of prompt engineering
- How prompt engineering enhances AI performance
- Exploratory case studies
- Overview of case studies showcasing AI in legal workflows
- Discussion on initial observations and potential
- Hands-On Demonstration: Exploring AI Tools
- Live demonstration of AI tools for legal tasks
- Guided exploration to experience AI capabilities firsthand
- Practical applications: summarisation, classification, and extraction
- Introduction to practical applications of LLMs
- Simple exercises to demonstrate AI in action
- Integrating AI into Legal Workflows
- Initial strategies for incorporating AI into legal practice
- Discussion on potential benefits and challenges
- Ethical Considerations and Compliance
- Overview of ethical and compliance considerations
- Best practices for responsible AI use in legal contexts
- Final discussion, feedback, course wrap-up
Assessment
- Online assessment (MCQ) and open-ended questions