AI+ Legal Agent Specialty™

Kód kurzu: NPAP2801

Tato část není lokalizována

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.

Odborní
certifikovaní lektoři

Mezinárodně
uznávané certifikace

Široká nabídka technických
a soft skills kurzů

Skvělý zákaznický
servis

Přizpůsobení kurzů
přesně na míru

Termíny kurzu

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 6 950 Kč

Registrovat

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 1 830 Kč

Registrovat

Počáteční
datum
Místo
konání
Forma Délka
kurzu
Jazyk Cena bez DPH
G Na vyžádání Self-paced 8 hodin en 6 950 Kč Registrovat
G Na vyžádání Self-paced 8 hodin en 1 830 Kč Registrovat
G Garantovaný kurz

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Kontakt

Popis kurzu

Tato část není lokalizována

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.

Struktura kurzu

Tato část není lokalizována

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

Předpokládané znalosti

Tato část není lokalizována

  • 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

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