Day 1: AI Tools for Litigation Strategy

1. Introduction to AI in Litigation

• Overview of AI applications in different stages of litigation - Potential benefits: efficiency, cost
  reduction, improved outcomes
• Challenges and limitations of AI in legal proceedings

2. Predictive Analytics in Case Outcome Prediction

• Machine learning techniques for outcome prediction
• Data sources and features used in predictive models
• Accuracy and reliability of AI predictions in legal contexts
• Ethical considerations in using predictive analytics for litigation

3. AI Tools for Case Strategy Development

• Analysis of past case outcomes and judicial tendencies
• Identification of key factors influencing case outcomes
• AI-assisted argument development and counterargument prediction
• Integration of AI insights into litigation strategy

4. E-discovery and AI-Assisted Document Review

• AI technologies in e-discovery: NLP, machine learning, computer vision
• Predictive coding and technology-assisted review (TAR)
• Workflow integration of AI in document review processes
• Legal and ethical considerations in AI-powered e-discovery

Day 2: AI in Courts and Future Trends

1. AI-Powered Legal Analytics

• Analysis of judicial behaviour and decision patterns
• Identification of precedent trends and legal argumentation strategies
• Use of analytics in brief writing and oral arguments
• Ethical considerations in using analytics to influence court decisions

2. AI in Alternative Dispute Resolution (ADR)

• AI-powered negotiation support systems
• Online dispute resolution platforms with AI components
• Smart contracts in dispute prevention and resolution
• Challenges and opportunities of AI in ADR processes

3. Practical Session: Using AI Tools for Legal Analytics

• Hands-on experience with a legal analytics platform
• Analyzing judicial decisions and identifying patterns
• Developing case strategies based on AI-generated insights
• Critical evaluation of AI-generated analytics results

4. The Future of AI in Courtrooms

• AI-assisted judicial decision-making: possibilities and risks
• Virtual and augmented reality in courtroom presentations
• Automated court reporting and real-time transcription
• Ethical and legal challenges of AI integration in court processes