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

Exam: 50 questions, 70% passing, 90 minutes, online proctored exam

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