AI+ Legal Agent™

  • 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
Enroll Now
AI+ Legal Agent™
Self-Paced: $195
Instructor-Led: $295

At a Glance: Course + Exam Overview

Category AI Business, AI Professional, All Courses, Available Now, English, Language, Legal Counsel / Corporate Lawyer
Program Name AI+ Legal Agent™
Duration Instructor-Led:1 day (live or virtual) | Self-Paced:8 hours - 1 day
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
Exam Format 50 questions, 70% passing, 90 minutes, online proctored exam

What You'll Learn

AI-Driven Legal Research

Learn to use AI tools to automate legal research, quickly finding relevant case laws and precedents.

Contract Review Automation

Gain expertise in using AI to analyze and review legal contracts, ensuring accuracy and compliance.

Predictive Legal Analytics

Understand how AI can forecast case outcomes, analyze risks, and assist in strategic decision-making for legal professionals.

Document Automation

Master AI-driven tools to streamline document creation, management, and analysis, saving time and reducing errors.

Certification 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
  • 2.4 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

Finish the course and get certified

Course Certificate

Industry Opportunities

AI Legal Consultant

Advise law firms on integrating AI solutions to optimize case management, legal research, and client interactions.

Legal Operations Manager

Lead the implementation of AI-powered tools in legal workflows to improve efficiency and reduce operational costs.

AI-Powered Legal Research Analyst

Design and deploy AI algorithms to enhance legal research, case prediction, and document analysis.

Legal Technology Manager

Oversee the adoption of AI technologies in law firms, focusing on automating repetitive tasks and improving client service.

Frequently Asked Questions

Prerequisites

Exam Details

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

Exam Blueprint

Introduction to LegalTech and AI Agents 5%
What is an AI Agent? 5%
GPT and NLP Foundation for Legal Agents 9%
AI Agents for eDiscovery 9%
Contract Review in Legal Workflows 9%
Legal Research Agents 9%
Compliance & Risk Monitoring Agents 9%
Legal Chatbots & Virtual Legal Assistants 9%
AI Agents for IP Filing and Patent Drafting 9%
Case Outcome Prediction Agents 9%
Ethics, Fairness, and Transparency in Legal AI 9%
Capstone Project - Building Your AI Legal Agent 9%
Self-Paced Online

Self-Paced Online: 8 hours - 1 day

Price: $195

Instructor-Led Online

Instructor-Led Online: 1 day (live or virtual)

Price: $295

Core AI Tools Covered