Course introduction

Hello everybody! Welcome to this course. I’m Mark Shope, the main instructor for this course, and you will be hearing from me in each section.

This is the second half of a two-part series. If you didn’t take the first half, don’t worry, you still can start with this course.

If you’re interested, welcome to enroll the first course: AI for Legal Professionals (I): Law and Policy as well.

This is our first week. In this week, we will discuss these topics:

1. Introduction to Artificial Intelligence, Machine Learning, Data Mining, and Legal Analytics.

2. Introduction to Python, PyTorch, TensorFlow, R Programming, RapidMiner, and Tableau.

3. Introduction to the Colaboratory, Jupyter Notebook, and GitHub Environments.

4. Data mining in law: Information extraction from legal databases and texts; data collection, data preparation, model development, model evaluation and postprocessing, and model deployment.

5. Data mining in law: Classifying, clustering, and identifying themes in data; argument mining from legal texts; topic modelling.

6. Data mining in law: eDiscovery, eDisclosure, Compliance, Due Diligence.

Please feel free to share your ideas and learn with us.