AI+ Legal Agent™ eLearning

Mastering AI in Legal Systems: Your Path to Autonomous Innovation

• Core Concepts Covered: Legal workflows, AI technologies, Natural Language Processing (NLP), and contract review automation
• Advanced Topics: Explore Generative AI, predictive analytics in case outcomes, AI-driven legal research, and compliance monitoring
• Capstone Application: Design real-world legal AI agents for tasks like contract review, legal research, and compliance tracking
• Career Readiness: Build expertise to thrive in AI-powered legal roles, with mentorship and hands-on training in designing legal AI agents

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

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Self study materials are available for 365 days.

Included Instructor-led OR Self-paced course + Official exam + Digital badge