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Course Outline
Introduction to Generative AI in Legal Technology
- Understanding the mechanics of generative AI
- The impact of AI on legal operations
- Core generative AI technologies applicable to legal tech
Automating Legal Document Processing
- AI applications 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 Technology
- Project overview and goals
- Data collection and model training
- Deployment and evaluation of the AI system
Summary and Next Steps
Requirements
- Knowledge of legal terminology and procedures
- Proficiency in Python and foundational machine learning concepts
- Familiarity with Natural Language Processing (NLP)
Target Audience
- Legal professionals
- Legal technology developers
- AI practitioners interested in legal technology solutions
14 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)