Course Prerequisites:
Basic understanding of legal workflows or law-related contexts Interest in automation, AI, or legal innovation No prior coding experience required (coding templates provided) Familiarity with digital tools (e.g., spreadsheets, cloud platforms) is helpful but not mandatory or law-related contexts Interest in automation, AI, or legal innovation
Modules:
Module 1: Introduction to LegalTech and AI Agents
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
Module 2: What is an AI Agent?
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
2.5 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
Module 3: GPT and NLP Foundation for Legal Agents
3.2 Language Models
3.3 Customizing GPT for Legal Work
3.4 The Rising Role of Prompt Engineering in Legal AI
Module 4: AI Agents for eDiscovery
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
Module 5: Contract Review in Legal Workflows
5.1 What is Contract Review?
5.2 What Is an AI Contract Review Agent?
Module 6: Legal Research Agents
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
Module 7: Compliance & Risk Monitoring Agents
7.1 Compliance and Risk Monitoring
7.2 Compliance & Risk Monitoring Agents
7.3 Hands-On Activity: Guide learners in building a basic compliance alert bot using no-code tools,
Module 8: Legal Chatbots & Virtual Legal Assistants
8.1 Introduction to Legal Chatbots
8.2 Key Use Cases in Legal Practice
8.3 Legal Architecture & Design Principles
Module 9: AI Agents for IP Filing and Patent Drafting
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
Module 10: Case Outcome Prediction Agents
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
Module 11: Ethics, Fairness, and Transparency in Legal AI
11.1 Managing Bias in Legal AI
11.2 Legal Accountability in Autonomous Agent Deployment
Module 12: Capstone Project – Building Your AI Legal Agent
12.1 Applying AI to Solve Real Legal Problems
12.2 Document Your Inputs and Prompts