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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
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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