Opleiding: AI+ Legal Agent Specialty™
Formerly known as AI+ Legal Agent™
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
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.
- 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.
- 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 will explore
- TensorFlow
- Power BI
- Keras
- SQL
- Apache-Spark
- Python
- Matplotlib
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badgeDe OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.
Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.
