Applications of Data and AI in LegalTech
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2021004176
S$720
Original: S$2,400
Save S$1,680
About This Course
The legal profession is undergoing a significant technological transformation. Rapidly improving artificial intelligence finding more adoption in legal workplaces. But new, AI-based tools require different conceptual models, technical knowledge, and practical skills to be effectively and safely used. Lawyers who carelessly rely on AI outputs risk professional censure. Against this backdrop, this module delves into AI and Data in the legal industry. It will help participants understand what is currently happening within this space and how AI can be utilised most efficiently within the legal sector
What You'll Learn
At the end of the 2-day module, participants will be able to:
• Understand the difference between narrow and general AI
• Distinguish between different types of “AI” (decision trees, neural networks, etc.)
• Understand how language models operate and how they simulate reasoning
• Identify the advantages and weaknesses of AI, i.e., what AI cannot be used for
• Analyse whether AI is suitable for a given use case
• Understand current applications of AI in LegalTech
• Understand how applied data science and AI is transforming the practice of law
• Formulate strategies for incorporating AI into law practices and departments
• Understand the difference between narrow and general AI
• Distinguish between different types of “AI” (decision trees, neural networks, etc.)
• Understand how language models operate and how they simulate reasoning
• Identify the advantages and weaknesses of AI, i.e., what AI cannot be used for
• Analyse whether AI is suitable for a given use case
• Understand current applications of AI in LegalTech
• Understand how applied data science and AI is transforming the practice of law
• Formulate strategies for incorporating AI into law practices and departments
Entry Requirements
Participant should have at least:
• a Bachelor's Degree or
• Diploma with at least 3 years working experience
Course Details
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