Onlinekurs I: Introduction to Computational Law: LegalNLP, Document Automation, Large Language Models and Prompting

All materials will be available on: Open edX
 

We will hold a kick-off meeting via Zoom on Wednesday, February 25, at 2:00 PM (CET) to introduce the course, set out the exam conditions, and answer any initial questions. The Zoom link for the meeting is provided on the course materials indicated above.

The online course teaches the basics of computer and web based legal research.
It aims to provide advanced students with the skills they need in order to design and conduct their own empirical projects based on text data (typically as part of a dissertation or master's thesis). This includes basics in programming, Natural Language Processing (NLP) for law, web scraping and the use of large language models (LLMs). 

The course is conducted solely online and will be self-paced.

The aim is to enable law students to independently carry out a small project using computational text analysis. The course offers a practical introduction to a future-oriented skill for students who work primarily with texts and their analysis.

As the course is conducted online and uses Python as the programming language, students should have access to a computer on which they can install Python and run Jupyter Notebooks as their programming environment.

No programming skills necessary; all essential basics are taught in the course.

For further information, contact the course staff (oc1@ius.uzh.ch).