Training Course on Artificial Intelligence (AI) and Law

Training Course on Artificial Intelligence (AI) and Law

Introduction

The transformative impact of Artificial Intelligence (AI) on the legal profession is reshaping how law is practiced, interpreted, and enforced. Training Course on Artificial Intelligence (AI) and Law offers a deep dive into the convergence of emerging AI technologies and the ever-evolving legal frameworks that govern society. With legal automation, predictive analytics, and algorithmic regulation gaining traction, this course equips legal professionals, technologists, and policymakers with the essential tools to navigate the AI-driven legal landscape.

 

Participants will explore how AI influences areas such as privacy law, intellectual property, legal ethics, and criminal justice. Through real-world case studies, practical modules, and expert-led instruction, attendees will gain insights into AI regulation, legal tech integration, and the ethical dilemmas posed by machine learning systems in law enforcement and judiciary processes. Whether you're a legal practitioner, policymaker, or AI developer, this course will empower you with future-ready legal knowledge and digital fluency.

Course Objectives

1. Understand AI regulation and its global legal implications
2. Examine the role of machine learning in judicial decision-making
3. Explore robotic process automation (RPA) in legal workflows
4. Assess legal challenges in automated contract analysis and generation
5. Investigate intellectual property rights in AI-generated content
6. Analyze the legal impact of deepfakes and synthetic media
7. Review GDPR compliance and AI data privacy laws
8. Study algorithmic bias and discrimination in legal AI systems
9. Evaluate AI ethics frameworks within national and international law
10. Understand predictive policing and its constitutional limitations
11. Explore blockchain and AI integration in legal evidence
12. Assess the importance of explainable AI (XAI) in legal transparency
13. Develop strategies for AI governance and legal risk management

Target Audience

1. Legal Professionals and Lawyers
2. Law Students and Academicians
3. Legal Consultants and Researchers
4. AI Developers in LegalTech
5. Corporate Compliance Officers
6. Policymakers and Regulators
7. Judges and Judicial Staff
8. Cybersecurity and Privacy Experts

Course Duration: 5 days

Course Modules

Module 1: Foundations of AI and Law

• Introduction to AI technologies
• Overview of LegalTech evolution
• Legal definitions and terminologies in AI
• Machine learning and neural networks basics
• AI-driven legal tools in practice
• Case Study: Legal AI tools in e-discovery

Module 2: AI and Legal Compliance

• Understanding compliance automation
• AI in GDPR and data privacy audits
• Risk assessment using AI models
• AI compliance in finance and healthcare
• Automated legal documentation for compliance
• Case Study: AI auditing in GDPR compliance

Module 3: Intellectual Property and AI

• AI-generated inventions and patents
• Copyright laws and AI-generated content
• Licensing challenges with AI systems
• International frameworks for IP and AI
• Ownership rights in machine creations
• Case Study: AI authorship dispute (e.g., DABUS case)

Module 4: AI Ethics and Algorithmic Accountability

• Ethical frameworks in AI regulation
• Bias and fairness in AI algorithms
• Transparency and explainability in legal AI
• Accountability in automated legal decisions
• Public trust and legal responsibility
• Case Study: COMPAS system in criminal sentencing

Module 5: Criminal Law and AI

• Predictive policing and legal challenges
• Surveillance laws and facial recognition AI
• AI in criminal investigations and forensics
• Due process and rights in AI-driven justice
• Regulatory efforts on criminal AI use
• Case Study: Predictive policing and civil rights

Module 6: AI in Legal Research and Contracts

• NLP in contract analysis and generation
• AI-assisted legal research tools
• Smart contracts and blockchain legality
• Automation of contract management workflows
• Legal review and risk analysis with AI
• Case Study: IBM Watson in legal contract review

Module 7: AI Governance and Global Legal Trends

• International AI regulatory bodies and treaties
• National AI strategies and legal adaptation
• Government oversight of AI systems
• Public vs. private AI governance models
• Policy-making in AI risk regulation
• Case Study: EU AI Act – Implications for legal AI

Module 8: Future of Legal Practice with AI

• Emerging LegalTech startups
• The future of AI-powered legal firms
• Law school curricula and AI integration
• Professional liability in using AI
• AI-human collaboration in legal decisions
• Case Study: AI’s role in remote court proceedings

Training Methodology

• Expert-led lectures and live demonstrations
• Interactive workshops and role-play simulations
• Real-world case study discussions
• Group projects and AI-legal tool prototyping
• Assessments and feedback through quizzes and peer review

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.