AI+ Legal Agent™
# AP-2801
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.
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 2 days (live or virtual)
- Self-Paced: 16 hours of content
Who Should Enroll?
Legal Professionals: Lawyers, paralegals, and legal assistants seeking to enhance their work with AI-powered tools and automation.
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.
Job Roles & Industry Outlook
AI Legal Consultant
Advise law firms on integrating AI solutions to optimize case management, legal research, and client interactions.
Legal Operations Manager
Design and deploy AI algorithms to enhance legal research, case prediction, and document analysis.
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.
Skills You’ll Gain
- AI & Machine Learning
- Legal Research Automation
- Predictive Analytics
- Natural Language Processing
- Big Data Tools
- Legal Workflow Automation
- Real-Time Legal Case Management
What You'll Learn
- 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
- 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
- 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
- 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
- 5.1 What is Contract Review?
- 5.2 What Is an AI Contract Review Agent?
- 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
- 7.1 Compliance and Risk Monitoring
- 7.2 Compliance & Risk Monitoring Agents
- 7.3 Hands-On Activity
- 8.1 Introduction to Legal Chatbots
- 8.2 Key Use Cases in Legal Practice
- 8.3 Legal Architecture & Design Principle
- 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
- 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
- 11.1 Managing Bias in Legal AI
- 11.2 Legal Accountability in Autonomous Agent Deployment
- 12.1 Applying AI to Solve Real Legal Problems
- 12.2 Document Your Inputs and Prompts
Tools You'll Explore
TensorFlow
Power BI
Keras
SQL
Apache-Spark
Python
Matplotlib
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
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Exam Blueprint
- Introduction to LegalTech and AI Agents - 5%
- What is an AI Agent - 5%
- GPT and NLP Foundation for Legal Agents - 5%
- 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%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates)
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~30 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get Certified ButtonFrequently 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.
