🧐 A Beginner's Guide to Legal AI

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πŸ‘©πŸΌβ€πŸ’Ό Who is the course for?

Innovation Professionals

Legal Technologists

In-house Counsel

General Counsel

Curious Lawyers

Legal Professionals

πŸ“– What does the course cover?

Module 1 - AI Fundamentals

  • What is AI?
  • The different kinds of AI
  • AI, ML and NLP
  • A brief history of AI
  • Rules-based AI
  • ML-based AI
  • Contexts for doing AI

Module 2 - Data Fundamentals

  • What is data?
  • The different kinds of data
  • Data Bias
  • Data Strategy

Module 3 - Machine Learning (ML) Fundamentals

  • What is Machine Learning?
  • The different kinds of ML
  • The different learning approaches
  • What's needed for doing ML?
  • ML project lifecycle
  • A brief history of ML

Module 4 - Natural Language Processing (NLP) Fundamentals

  • What is NLP?
  • NLP, NLU and NLG
  • NLP Tasks
  • A brief history of NLP
  • Linguistic NLP
  • ML-based NLP
  • Deep Learning NLP
  • Large Language Models

Module 5 - Legal AI

  • The What of Legal AI
  • The How of Legal AI
  • The Why of Legal
  • Legal AI Opportunity Detection
  • Why Legal AI is important?
  • Evaluating a Legal AI solution

πŸ“¦ What's included?

Slides

Transcripts

Recordings

Any future updates and revisions to the content

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