AI+ Legal Agent Specialty™

Course code: NPAP2801

Formerly known as AI+ Legal Agent™

Mastering AI in Legal Systems: Your Path to Autonomous Innovation

  • Essential Foundations: Delve into legal processes, AI technologies, NLP capabilities, and automated contract analysis.
  • In-Depth Subject Exploration: Investigate generative AI, case prediction tools, AI-powered research, and regulatory compliance oversight.
  • Practical Capstone Implementation: Develop practical legal AI agents for applications including contract examination, legal documentation research, and compliance surveillance.
  • Professional Advancement Preparation: Gain proficiency for success in AI-enhanced legal positions, featuring guidance and real practice in agent creation.

Professional
and certified lecturers

Internationally
recognized certifications

Wide range of technical
and soft skills courses

Great customer
service

Making courses
exactly to measure your needs

Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

Didn't find a suitable date?

Write to us about listing an alternative tailor-made date.

Contact

Course description

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 structure

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

Prerequisites

  • Foundational awareness of legal procedures or law-adjacent environments
  • Enthusiasm for automation, artificial intelligence, or legal technology advancement
  • No previous programming experience necessary as coding templates are readily available
  • Working familiarity with digital platforms such as spreadsheets and cloud-based tools is advantageous but not essential

Do you need advice or a tailor-made course?

onas

product support

ComGate payment gateway MasterCard Logo Visa logo