Friday October 29 4:00 PM – Friday October 29 4:30 PM in Talks II

Law, Graphs & Python

Adam Zadrożny

Prior knowledge:
No previous knowledge expected

Summary

Legal systems are one of the most complicated human made creations. It is hard to control it due its sparse and vast structure. But it’s hyperlink structure allows us to present it as a graph. By using this and NLP methods we can efficiently visualise its structure and analyse interactions between its parts. In the talk, I will explain how such analysis could be done for Polish and European Law.

Description

Legal systems are one of the most complicated human made creations. It is hard to control it due its sparse and vast structure. For a human without completed legal studies it is hard to even get a good glimpse on a small part of it.

But let’s look at the law from a computer scientist's perspective. It is divided into logical parts Acts, Chapters, Articles, Points, … . What is more, there are references between relevant parts. So we have a hyperlink structure which allows us to present a legal system as a graph.

By using this and NLP methods we can efficiently visualise its structure and analyze interactions between its parts. But this leads us to the conclusion that we can use data mining and NLP to consistency checks, detect redundancy or detect involuntary changes due to hyperlink structure.

In the talk, I will explain how such analysis could be done for Polish and European Law. And how it might help to analyze how the law should be cleaned up after many hurried messy changes were introduced during the pandemic to the legal system. And how citize