AI+ Legal Agent 

Duration

• Instructor-Led: 1 days (live or virtual)
• Self-Paced: 8 hours of content
  

Who Should Attend

• Tech Enthusiasts: Individuals interested in exploring the intersection of AI and the legal industry to drive innovation.
• Law Students: Students looking to stay ahead by gaining AI skills relevant to the evolving legal field.
• Legal Operations Managers: Professionals aiming to streamline legal workflows and improve efficiency through AI-driven solutions.

Prerequisites

• Basic understanding of legal workflows or law-related contexts
• No prior coding experience required (coding templates provided)
• Interest in automation, AI, or legal innovation
• Familiarity with digital tools (e.g., spreadsheets, cloud platforms) is helpful but not mandatory or law-related contexts

Course Content

Course Introduction

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 Principle

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

Why This Certification Matters

• Efficient Case Management: AI helps streamline case tracking, ensuring faster and more accurate management of legal proceedings.
• Improved Legal Research: AI tools accelerate the research process, providing quick access to relevant case law and legal precedents.
• Enhanced Document Analysis: AI automates document review, making contract analysis and legal documentation faster and more accurate.
• Better Client Interaction: AI-powered chatbots and virtual assistants improve client communication, ensuring timely responses and better service.

Exam Details

• Duration- 90 minutes
• Passing score- 70% (35/50)
• Format- 50 multiple choice/ multiple response questions