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
- 2.4 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
Module 3: GPT and NLP Foundation for Legal Agents
- 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
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
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
Tools you will explore
- TensorFlow
- Power BI
- Keras
- SQL
- Apache-Spark
- Python
- Matplotlib
