What’s Included?
High-Quality Video, E-book & Audiobook
Modules Quizzes
AI Mentor
Access for Tablet & Phone
Online Proctored Exam with One Free Retake
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 context
Self Study Materials Included
Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Tools You’ll Master
TensorFlow
Power BI
Keras
SQL
Apache-Spark
Python
Matplotlib
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.
Course 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 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
Frequently Asked Questions
Yes, you’ll gain hands-on experience with AI tools for legal research, document automation, and case management that can be applied immediately.
This course integrates AI with legal workflows, focusing on automation, predictive analytics, and smart document management to optimize legal services.
You’ll work on projects like AI-driven legal research, contract automation, case outcome prediction, and a legal technology capstone project.
The course combines theoretical knowledge with practical applications, case studies, and hands-on activities to help you apply AI tools in legal scenarios.
You’ll develop AI skills tailored to the legal industry, preparing you for roles in legal tech, case management, and AI-powered legal research.