AI+ Legal Practitioner™

Kód kurzu: NPAP280

Tato část není lokalizována

Formerly known as AI+ Legal™

AI-Powered Legal Insights: Building Trust, Delivering Results

  • Future of Law: Arm legal professionals with AI tools for research, privacy management, and regulatory compliance.
  • Critical Thinking: Emphasizes ethical considerations, legal precedents, and effective contract management.
  • Advanced Tools: Encompasses machine learning for legal document analysis, advanced analytics, and case outcome prediction.
  • Hands-On Projects: Learn through practical simulations designed to mirror real-world legal AI deployment scenarios.

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 Application in Legal Contexts

Learners will acquire the ability to apply AI technologies such as machine learning and natural language processing to enhance legal research and contract management.

Ethical AI Use and Data Privacy

Participants will develop skills to navigate the ethical and privacy issues surrounding the use of AI in legal practices, ensuring compliance and protecting client data.

Predictive Legal Analytics

Learners who complete this course will gain techniques in predictive analytics to enhance legal decision-making and outcome forecasting.

Understanding and Compliance with AI Regulations

Learners will gain a thorough understanding of the legal and regulatory frameworks applicable to AI.

Struktura kurzu

Tato část není lokalizována

Course Overview

Module 1: Introduction to Artificial Intelligence (AI) and Its Implications for Law

  • 1.1 AI Basics
  • 1.2 AI in the Legal Industry
  • 1.3 Understanding AI Technologies

Module 2: Machine Learning Fundamentals for Lawyers

  • 2.1 Foundations of Machine Learning
  • 2.2 Machine Learning in Legal Contexts
  • 2.3 Practical Machine Learning Tools

Module 3: Natural Language Processing in Legal Research

  • 3.1 Basics of NLP
  • 3.2 NLP Applications in Law
  • 3.3 Advanced NLP Techniques

Module 4: AI in Contract Review and Management

  • 4.1 Contract Analysis with AI
  • 4.2 AI Tools for Contract Management
  • 4.3 Practical Contract Management Scenarios

Module 5: Predictive Analytics in Legal Decision-Making

  • 5.1 Introduction to Predictive Analytics
  • 5.2 Predictive Analytics in the Legal Field
  • 5.3 Implementing Predictive Analytics

Module 6: Ethical and Privacy Considerations of AI in Law

  • 6.1 AI Ethics in Legal Practice
  • 6.2 Privacy Concerns with AI
  • 6.3 Regulatory Landscape for AI

Module 7: Legal and Regulatory Framework for AI

  • 7.1 Current Legal Frameworks for AI
  • 7.2 Drafting AI Regulations
  • 7.3 AI and Legal Practice

Module 8: Implementing AI in Legal Practices

  • 8.1 AI Integration Strategies in Legal practices
  • 8.2 Case Studies of AI in Law Firms
  • 8.3 Future of AI in Legal Profession

Optional Module: AI Agents for Legal

  • 1. Understanding AI Agents
  • 2. Case Studies
  • 3. Hands-On Practice with AI Agents

Předpokládané znalosti

Tato část není lokalizována

  • A foundational grasp of legal principles; no professional degree is necessary.
  • Curiosity and openness toward exploring evolving legal concepts and frameworks.
  • An interest in AI’s broader impact on society and a willingness to embrace change.
  • Readiness to engage with AI ethical frameworks, guidelines, and governance structures.
  • A basic understanding of ethical principles and applied moral reasoning.

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