Learning Resources

Learning Legal Data Science: An Introductory Course on Legal Data Science in R.

The best way to understand what computer science and artificial intelligence can and cannot do in the legal domain is to learn how to program yourself. This course does not require any prior programming skills. It will start from scratch and introduce you to the programming language R. We will go through lectures, scripts and exercises together that will deal with different legal data science applications, including legal search through regular expressions, text to data conversion and analysis, citation network analysis and legal classification and prediction through machine learning. The goal is not to turn you into a programmer. Instead it will provide a sense of how to approach and solve big legal questions in a simple programming environment.

Background Reading

Each lesson will contain recommendations and suggestions on useful readings and learning resources. Below are some general contributions, that provide an overview over legal data science topics.    

  • – Ashley, Kevin D. Artificial Intelligence and Legal Analytics. Cambridge University Press, 2017.
  • – Livermore, Michael, and Daniel Rockmore, eds. Law as Data: Computation, Text, and the Future of Legal Analysis. SFI Press, 2019.
  • – Alschner, Wolfgang. “The Computational Analysis of International Law”, in: Rossana Deplano and Nicholas Tsagourias (eds.), Research Methods in International Law: A Handbook, 2019 [SSRN Version]
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