Lawtech - Leveraging Generative AI for Law Practice

Elevate your legal practice with cutting-edge generative AI technology. Our specialized course equips you with advanced knowledge and practical skills to harness artificial intelligence effectively in your law practice. Engage with expert-led insights and hands-on experiences that transform your approach to legal tasks.

Face-to-Face Apr 28, 2025
updated
beginner
Lawtech - Leveraging Generative AI for Law Practice
MYR 1750

Features

1 day (9:00 AM - 5:00 PM)
7 modules
11 intakes
Full life-time access
English

Subsidies

HRDC Claimable logo

What you'll learn

  • Explore the process of training an AI system for legal applications
  • Prepare for future impacts of AI on the legal profession
  • Gain practical experience with popular generative AI tools for law practices
  • Understand the fundamental concepts of artificial intelligence relevant to law
  • Learn how machine learning and neural networks can be applied in legal settings
  • Examine AI's capabilities in document review, contract analysis, and legal research
  • Identify the limitations and ethical implications of using AI in law
  • Develop strategies for integrating artificial intelligence into law practice

Why should you attend?

This course provides an in-depth exploration of how generative artificial intelligence (AI) is revolutionizing the legal profession. Participants will gain a foundational understanding of AI, including its definition, machine learning concepts, neural networks, and the specific category of generative AI. With this knowledge as a backdrop, the course delves into the practical workings of AI within the legal domain, elucidating how AI systems are trained and applied to tasks such as document classification. Building on these foundations, learners will examine the current capabilities of AI in legal work, exploring use cases like document review, contract analysis, and legal research. In contrast, we'll also cover the limitations of AI, discussing areas where human lawyers still excel and addressing ethical considerations. The program includes practical applications with case studies demonstrating AI's impact on efficiency and cost-effectiveness in law practices. The hands-on workshop section allows participants to interact directly with popular AI tools tailored for legal work. This immersive experience aims to provide familiarity with selecting appropriate AI solutions for various legal tasks. Finally, the course looks forward to the future of AI in law, preparing attendees to anticipate changes in their field and integrate AI effectively into their practices while considering upcoming ethical and regulatory challenges.

Course Syllabus

The definition of AI and its relevance to the legal profession
The concept of Machine Learning and its applications
Understanding Neural Networks and their legal applications
The concept of Generative AI and how it applies to law
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1

Minimum Qualification

graduate

Target Audience

students
entry level
mid level managers
senior managers
executives

Methodologies

slides
case studies
labs
group discussion
q&A

Why should you attend?

This course provides an in-depth exploration of how generative artificial intelligence (AI) is revolutionizing the legal profession. Participants will gain a foundational understanding of AI, including its definition, machine learning concepts, neural networks, and the specific category of generative AI. With this knowledge as a backdrop, the course delves into the practical workings of AI within the legal domain, elucidating how AI systems are trained and applied to tasks such as document classification. Building on these foundations, learners will examine the current capabilities of AI in legal work, exploring use cases like document review, contract analysis, and legal research. In contrast, we'll also cover the limitations of AI, discussing areas where human lawyers still excel and addressing ethical considerations. The program includes practical applications with case studies demonstrating AI's impact on efficiency and cost-effectiveness in law practices. The hands-on workshop section allows participants to interact directly with popular AI tools tailored for legal work. This immersive experience aims to provide familiarity with selecting appropriate AI solutions for various legal tasks. Finally, the course looks forward to the future of AI in law, preparing attendees to anticipate changes in their field and integrate AI effectively into their practices while considering upcoming ethical and regulatory challenges.

What you'll learn

  • Explore the process of training an AI system for legal applications
  • Prepare for future impacts of AI on the legal profession
  • Gain practical experience with popular generative AI tools for law practices
  • Understand the fundamental concepts of artificial intelligence relevant to law
  • Learn how machine learning and neural networks can be applied in legal settings
  • Examine AI's capabilities in document review, contract analysis, and legal research
  • Identify the limitations and ethical implications of using AI in law
  • Develop strategies for integrating artificial intelligence into law practice

Course Syllabus

The definition of AI and its relevance to the legal profession
The concept of Machine Learning and its applications
Understanding Neural Networks and their legal applications
The concept of Generative AI and how it applies to law
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
MYR 1750

Features

1 day (9:00 AM - 5:00 PM)
7 modules
11 intakes
Full life-time access
English

Subsidies

HRDC Claimable logo

Minimum Qualification

graduate

Target Audience

students
entry level
mid level managers
senior managers
executives

Methodologies

slides
case studies
labs
group discussion
q&A
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