Why This Certification Matters

  • AI for Legal Professionals: Learn how AI enhances efficiency in legal tasks like research and contract review.

  • Practical AI Agent Development: Gain hands-on experience building and deploying AI agents for legal applications.

  • Real-World Simulations: Apply skills through case simulations and prompt engineering with intelligent legal AI agents.

  • Ethical AI in Legal Practice: Understand the ethical implications of AI and ensure responsible legal agent development.

At a Glance: Course + Exam Overview

Program Name
AI+ Legal Agent Specialty™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites
Basic understanding of legal workflows, Interest in AI and legal innovation, No prior coding experience required, Familiarity with digital tools
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?

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.

What You'll Learn

  • 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

  • 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 Principles

  • 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 Master

TensorFlow
Power BI
Keras
SQL
Apache-Spark
Python
Matplotlib

Prerequisites

  • Basic understanding of legal workflows, Interest in AI and legal innovation, No prior coding experience required, Familiarity with digital tools

Exam Details

Duration

90 minutes

Passing Score

70%

Format

50 questions

Delivery Method

online proctored exam

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)
  • 1 day (live or virtual) Self-Paced: 8 hours of content
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
  • 8 hours of content
  • Learn anywhere, anytime, with modular quizzes to track progress

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