1.1 AI Basics
1.2 What is LegalTech?
1.3 A Brief History of AI
1.4 Why AI in Law?
1.5 Emerging Trends in Legal AI Agents and the Rise of Intelligent Automation
1.6 Case Study: Revolutionizing Legal Drafting: Allen & Overy’s Integration of Harvey AI:
1.7 Case Study: AI-Powered Contract Review in a Multinational Legal Department

2.1 AI Agents in the Legal Field
2.2 Defining Characteristics of an AI Agent
2.3 How AI Agents Differ from AI Tools
2.4 Types of AI Agents (High-Level Functional Overview)
2.5 Types of AI Agents (Design Architecture-Based)
2.6 Case Study
2.7 Tools and Libraries for AI Agent Development in LegalTech
2.8 Legal AI Agents in Trend

3.1 Introduction to NLP in AI Agents
3.2 Language Models
3.3 Customizing GPT for Legal Work
3.4 The Rising Role of Prompt Engineering in Legal AI

4.1 Introduction: What Is eDiscovery and Why Automate It?
4.2 Introduction to DISCO AI (Cecilia)
4.3 Cecilia Q&A
4.4 AI-Powered Investigations with Reveal AI

5.1 What is Contract Review?
5.2 What Is an AI Contract Review Agent?

6.1 What is a Legal Research Agent?
6.2 Real-World Insights — AI Lawyer in Action
6.3 AI Legal Research – Use Cases in Practice

7.1 Compliance and Risk Monitoring
7.2 Compliance & Risk Monitoring Agents
7.3 Hands-On Activity

9.1 Introduction to AI in IP Filing and Patent Drafting
9.2 Core AI Agent Functionalities
9.3 Introduction to AI Tools for Patent Drafting and Management

10.1 Introduction to Case Outcome Prediction?
10.2 Feature Engineering in Legal Case Outcome Prediction
10.3 The Rise of Multi-Agent Legal Workflows

11.1 Managing Bias in Legal AI
11.2 Legal Accountability in Autonomous Agent Deployment

12.1 Applying AI to Solve Real Legal Problems
12.2 Document Your Inputs and Prompts