Teaching

Legal Data Science Link to heading

This page collects all the materials I’ve created to help people learn more about Legal Data Science.

Legal Data Science is the application of computational statistical methods to the legal domain. In other words, it combines programming, statistics and domain expertise (Conway 2013).

All the materials I create are published under open licenses and I would be glad to see them used wherever they can help — whether for self-study, in class or anywhere else.

Info
Make sure to begin with the tutorial How to Get Started with Legal Data Science if you are a lawyer and have no prior experience with data science.

As new tutorials, essays and other items are published I will add them to this page, sorted by topic. If you are looking for a chronological list, check out my blog for what is new.

Tutorials Link to heading

Tutorials introduce and teach key subjects from statistics and computer science with detailed narrative explanations and code, but always discuss the clear link to law and politics so it becomes clear how these tools are useful to lawyers.

Introduction Link to heading

Statistics Link to heading

Natural Language Processing Link to heading

Essays Link to heading

Essays deal with contemporary legal and political issues, specialist mathematical/computational problems or just anything else that is tangentially related to my research interests.

It is important to understand that technology, especially legal technology, does not and cannot exist in some computer science paradise. Badly designed technology kills, maims and impoverishes real people. Legal technology can scale terrible injustice as easily as real justice.

Be warned and be careful with what you build and deploy.

Technical Essays Link to heading

Selected Talks Link to heading

Talks are a useful way to get a high-level introduction to my work. I publish the dates of my upcoming talks on my blog and (almost) always upload the slides, notes and materials afterwards. They are designed to be informative even in the absence of a recording, so feel free to browse!

Advanced Learning and Teaching Link to heading

Advanced students of Legal Data Science and teachers may wish to review the open source code I have written and published, build projects on top of the open legal data sets I make available or check out the list of my preferred tools as an inspiration for their own workflows.

Tip

Many of my published Open Legal Datasets contain a ZIP archive called “analysis” which contains well-designed and informative diagrams analyzing key characteristics of each dataset.

All diagrams are available in high-resolution for print (PDF) or web (PNG) use.

These diagrams are published under the same public domain license as their parent dataset and are intended to help teachers of Legal Data Science by saving them some work.