Author: mtjonakon
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Dynamic Corporate Structure Charts
Sample JS Tree Chart MS Office – the default option Lawyers are often asked to analyze structure charts. For example, the rules and regulations to combat anti-money laundering and terrorist financing impose the obligation to analyze a structure chart showing the client and its ultimate beneficial owners. At present, Microsoft Office (MS Office) is without question the most dominant software […]
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QNL #5: Dutch Case Law Brief, January 1 – January 14
The QNL will now be biweekly instead of weekly, to have a sufficient large number of cases to deal with. In this post, I provide a short overview of the main statistics in terms of cases by institution, by area of law and by throughput time. This week’s novelty: a text-based, bottom-up classifier, instead of relying on the […]
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QNL #4: Dutch Case Law Brief, November 16 – December 30, 2015
As some time has passed since I posted the last QNL, in this QNL I will analyze the last six weeks of Dutch jurisprudence, from November, 16 to December, 30. Besides the weekly statistics, I will zoom in on the utility of the website’s categorization (uitspraken.rechtspraak.nl) of cases for corporate finance lawyers. In particular, I use a Latent […]
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QNL #3: Dutch Case Law Brief, November 2-8, 2015
In the first week of November, the Dutch courts collectively adjudicated more civil law cases than administrative law or criminal law cases. A total of 370 cases has been issued. Just like the previous week, the Raad van State (RVS) issued the highest number of opinions. Number of cases per institution The Raad van State (RVS), Centrale Raad […]
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QNL #2: Dutch Case Law Brief, October 26 – November 1, 2015
In this QNL, I assess rulings issued by Dutch legal institutions published on www.rechtspraak.nl during the last week of October 2015 using Python‘s natural language processing, data analysis and machine learning packages. Number of cases by institution Between October 26 to November 1, 2015, a total of 262 new court rulings were published (list), according to a request via the […]
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QNL #1: Dutch Case Law Brief, October 12-18, 2015
In this post, I want to share with you the results of a program involving natural language processing and machine learning tools. The aim of the program is to provide insights into Dutch case law developments on a weekly basis, using case law published on www.rechtspraak.nl. As the program is still in beta, feel free to comment or make suggestions. […]
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Roseburg and Mass Shootings in the U.S.
This post is not about finance or law, but about mass shootings. Mass Shooting: “FOUR or more shot and/or killed in a single event [incident], at the same general time and location not including the shooter.” (Source: GVA) Roseburg, Oregon October 1, 2015, marks another incident of mass shooting in the United States. This time, it was Christopher […]
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FinCEN MSB Data
Mining FinCEN data In this post I discuss how to use a financial institution’s search engine (FinCEN) and Python to analyze data on financial market participants. how to use a financial institution’s search engine (FinCEN) and Python to analyze data on financial market participants. Legal Background The Financial Crimes Enforcement Network is a bureau within the […]
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Innovation within the Dutch Judiciary: New API Service
The Board of the Dutch Judiciary keeps on innovating! Until recently, to find case law one had to use a browser, navigate through cumbersome Java menus and scroll endlessly. With the introduction of the Open Data van de Rechtspraak RESTful web service, you can send requests directly to the server. This means that if you run a simple script from your Terminal (Mac) or Command Prompt (Windows), within […]