Course Outline
Introduction to Generative AI in Legal Tech
- Understanding generative AI
- The impact of AI on legal operations
- Key generative AI technologies for legal tech
Automating Legal Document Processing
- AI in contract generation and review
- Machine learning models for document analysis
- Practical workshop: Building a document automation tool
AI-Driven Case Analysis
- Data mining techniques for legal cases
- Predictive analytics for case outcomes
- Workshop: Developing a predictive model for case prioritization
Enhancing Legal Research with AI
- Natural language processing for legal documents
- Information retrieval and knowledge extraction
- Hands-on: Creating an AI legal research assistant
Ethical and Compliance Considerations
- Bias and fairness in AI legal applications
- Regulatory frameworks and AI compliance
- Discussion: Ethical implications of AI in law
Project: Implementing an AI Solution for Legal Tech
- Project overview and goals
- Data collection and model training
- Deployment and evaluation of the AI system
Summary and Next Steps
Requirements
- An understanding of legal terminology and processes
- Experience with Python and basic machine learning
- Familiarity with natural language processing (NLP)
Audience
- Legal professionals
- Legal tech developers
- AI practitioners exploring legal tech solutions
Testimonials (3)
Excellect knowledge level of the trainer
Pawel Dykowski - LKQ Polska Sp. z o. o.
Course - Microsoft 365 Copilot Chat for Word, Excel, PowerPoint, and Outlook
I really appreciated the examples, they were relevant to almost any industry. Kevin's calm demeanour and approachable manner really helped. His broad knowledge and suggestions about how to generate prompts was deeply appreciated.
Colin Calnan - Canarie
Course - Microsoft 365 Copilot
Trainers can answer all questions and accept any queries