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Article

Access_open Teaching Technology to (Future) Lawyers

Journal Erasmus Law Review, Issue 1 2021
Keywords legal education, law and technology, legal analytics, technology education, technological literacy
Authors Mikołaj Barczentewicz
AbstractAuthor's information

    The article offers a reflection on how applications of computer technology (including data analytics) are and may be taught to (future) lawyers and what are the benefits and limitations of the different approaches. There is a growing sense among legal professionals and law teachers that the technological changes in the practice of law are likely to promote the kind of knowledge and skills that law graduates often do not possess today. Teaching computer technology can be done in various ways and at various depths, and those different ways and levels have different cost and benefit considerations. The article discusses four models of teaching technology: (1) teaching basic technological literacy, (2) more advanced but general technology teaching, (3) teaching computer programming and quantitative methods and (4) teaching a particular aspect of technology – other than programming (e.g. cybersecurity). I suggest that there are strong reasons for all current and future lawyers to acquire proficiency in effective uses of office and legal research software and standard means of online communication and basic cybersecurity. This can be combined with teaching of numerical and informational literacy. I also claim that advanced technology topics, like computer programming, should be taught only to the extent that this is justified by the direct need for such skills and knowledge in students’ future careers, which I predict to be true for only a minority of current lawyers and law students.


Mikołaj Barczentewicz
Mikołaj Barczentewicz is the Research Director, Surrey Law and Technology Hub, as well as Senior Lecturer (Associate Professor) in Law, University of Surrey School of Law. He is also a Research Associate of the University of Oxford Centre for Technology and Global Affairs.
Article

Access_open Big Data Ethics: A Life Cycle Perspective

Journal Erasmus Law Review, Issue 1 2021
Keywords big data, big data analysis, data life cycle, ethics, AI
Authors Simon Vydra, Andrei Poama, Sarah Giest e.a.
AbstractAuthor's information

    The adoption of big data analysis in the legal domain is a recent but growing trend that highlights ethical concerns not just with big data analysis, as such, but also with its deployment in the legal domain. This article systematically analyses five big data use cases from the legal domain utilising a pluralistic and pragmatic mode of ethical reasoning. In each case we analyse what happens with data from its creation to its eventual archival or deletion, for which we utilise the concept of ‘data life cycle’. Despite the exploratory nature of this article and some limitations of our approach, the systematic summary we deliver depicts the five cases in detail, reinforces the idea that ethically significant issues exist across the entire big data life cycle, and facilitates understanding of how various ethical considerations interact with one another throughout the big data life cycle. Furthermore, owing to its pragmatic and pluralist nature, the approach is potentially useful for practitioners aiming to interrogate big data use cases.


Simon Vydra
Simon Vydra is a Researcher at the Institute for Public Administration, Leiden University, the Netherlands.

Andrei Poama
Andrei Poama is Assistant Professor at the Institute for Public Administration, Leiden University, the Netherlands.

Sarah Giest
Sarah Giest is Assistant Professor at the Institute for Public Administration, Leiden University, the Netherlands.

Alex Ingrams
Alex Ingrams is Assistant Professor at the Institute for Public Administration, Leiden University, the Netherlands.

Bram Klievink
Bram Klievink is Professor of Digitization and Public Policy at the Institute for Public Administration, Leiden University, the Netherlands.
Editorial

Access_open Computational Methods for Legal Analysis

The Way Forward?

Journal Erasmus Law Review, Issue 1 2021
Keywords computational legal analysis, empirical legal studies, natural language processing, machine learning
Authors Elena Kantorowicz-Reznichenko
AbstractAuthor's information

    Computational analysis can be seen as the most recent innovation in the field of Empirical Legal Studies (ELS). It concerns the use of computer science and big data tools to collect, analyse and understand the large and unstructured data, such as for instance (legal) text. Given that the text is now the object of analysis, but the methods are (largely) quantitative, it lies in the intersection between doctrinal analysis and ELS. It brings with it not only a great potential to scale up research and answer old research questions, but also to reveal uncovered patterns and address new questions. Despite a slowly growing number of legal scholars who are already applying such methods, it is underutilised in the field of law. Furthermore, given that this method comes from social and computer sciences, many legal scholars are not even aware of its existence and potential. Therefore, the purpose of this special issue is not only to introduce these methods to lawyers and discuss possibilities of their application, but also to pay special attention to the challenges, with a specific emphasis on the ethical issues arising from using ‘big data’ and the challenge of building capacity to use such methods in law schools. This editorial briefly explains some of the methods which belong to the new movement of Computational Legal Analysis and provides examples of their application. It then introduces those articles included in this special issue. Finally, it provides a personal note on the way forward for lawyers within the movement of Computational Legal Analysis


Elena Kantorowicz-Reznichenko
Elena Kantorowicz-Reznichenko is Professor of Quantitative Empirical Legal Studies at the Rotterdam Institute of Law and Economics, Erasmus School of Law, Erasmus University, Rotterdam.
Article

Access_open Changes in the Medical Device’s Regulatory Framework and Its Impact on the Medical Device’s Industry: From the Medical Device Directives to the Medical Device Regulations

Journal Erasmus Law Review, Issue 2 2019
Keywords Medical Device Directive, Medical Device Regulation, regulatory, European Union, reform, innovation, SPCs, policy
Authors Magali Contardi
AbstractAuthor's information

    Similar to pharmaceutical products, medical devices play an increasingly important role in healthcare worldwide by contributing substantially to the prevention, diagnosis and treatment of diseases. From the patent law perspective both, pharmaceutical products and a medical apparatus, product or device can be patented if they meet the patentability requirements, which are novelty, inventiveness and entail industrial applicability. However, regulatory issues also impact on the whole cycle of the innovation. At a European level, enhancing competitiveness while ensuring public health and safety is one of the key objectives of the European Commission. This article undertakes literature review of the current and incoming regulatory framework governing medical devices with the aim of highlighting how these major changes would affect the industry at issue. The analysis is made in the framework of an on-going research work aimed to determine whether SPCs are needed for promoting innovation in the medical devices industry. A thorough analysis the aforementioned factors affecting medical device’s industry will allow the policymakers to understand the root cause of any optimal patent term and find appropriate solutions.


Magali Contardi
PhD candidate; Avvocato (Italian Attorney at Law).
Article

Access_open Access and Reuse of Machine-Generated Data for Scientific Research

Journal Erasmus Law Review, Issue 2 2019
Keywords machine-generated data, Internet of Things, scientific research, personal data, GDPR
Authors Alexandra Giannopoulou
AbstractAuthor's information

    Data driven innovation holds the potential in transforming current business and knowledge discovery models. For this reason, data sharing has become one of the central points of interest for the European Commission towards the creation of a Digital Single Market. The value of automatically generated data, which are collected by Internet-connected objects (IoT), is increasing: from smart houses to wearables, machine-generated data hold significant potential for growth, learning, and problem solving. Facilitating researchers in order to provide access to these types of data implies not only the articulation of existing legal obstacles and of proposed legal solutions but also the understanding of the incentives that motivate the sharing of the data in question. What are the legal tools that researchers can use to gain access and reuse rights in the context of their research?


Alexandra Giannopoulou
Institute for Information Law (IViR) – University of Amsterdam.

    In this paper I propose to analyse the binary notion of personal data and highlight its limits, in order to propose a different conception of personal data. From a risk regulation perspective, the binary notion of personal data is not particularly fit for purpose, considering that data collection and information flows are tremendously big and complex. As a result, the use of a binary system to determine the applicability of EU data protection law may be a simplistic approach. In an effort of bringing physics and law together, certain principles elaborated within the quantum theory are surprisingly applicable to data protection law, and can be used as guidance to shed light on many of today’s data complexities. Lastly, I will discuss the implications and the effects that certain processing operations may have on the possibility of qualifying certain data as personal. In other terms, how the chances to identify certain data as personal is dependent upon the processing operations that a data controller might put in place.


Alessandro El Khoury
Alessandro El Khoury, LLM, Legal and Policy Officer, DG Health & Food Safety, European Commission.
Article

Access_open Empirical Legal Research in Europe: Prevalence, Obstacles, and Interventions

Journal Erasmus Law Review, Issue 2 2018
Keywords empirical legal research, Europe, popularity, increase, journals
Authors Gijs van Dijck, Shahar Sverdlov and Gabriela Buck
AbstractAuthor's information

    Empirical Legal research (ELR) has become well established in the United States, whereas its popularity in Europe is debatable. This article explores the popularity of ELR in Europe. The authors carried out an empirical analysis of 78 European-based law journals, encompassing issues from 2008-2017. The findings demonstrate that a supposed increase of ELR is questionable (at best).
    Moreover, additional findings highlight:

    • An increase for a few journals, with a small number of other journals showing a decrease over time;

    • A higher percentage of empirical articles for extra-legal journals than for legal journals (average proportion per journal is 4.6 percent for legal journals, 18.9 percent for extra-legal journals);

    • Criminal justice journals, environmental journals, and economically oriented journals being more likely to publish empirical articles than other journals;

    • More prestigious journals being more likely to publish empirical articles than less-prestigious journals;

    • Older journals being more likely to publish empirical work than younger journals, but not at an increasing rate;

    • Journals being legal/extra-legal, journals in a specific field, journal ranking, or the age of the journal not making it more (or less) likely that the journal will publish empirical articles at an increasing (or decreasing) rate.
      Considering the lack of convincing evidence indicating an increase of ELR, we identify reasons for why ELR is seemingly becoming more popular but not resulting in more empirical research in Europe. Additionally, we explore interventions for overcoming the obstacles ELR currently faces.


Gijs van Dijck
Professor of Private Law at Maastricht University, the Netherlands.

Shahar Sverdlov
Law student at the Vrije Universiteit Amsterdam, the Netherlands.

Gabriela Buck
Law student at Maastricht University, the Netherlands.
Article

Access_open Legality of the World Bank’s Informal Decisions to Expand into the Tax Field, and Implications of These Decisions for Its Legitimacy

Journal Erasmus Law Review, Issue 2 2017
Keywords World Bank, legality, legitimacy, global tax governance, tax policy and tax administration reforms
Authors Uyanga Berkel-Dorlig
AbstractAuthor's information

    The emergence of global tax governance was triggered by common tax problems, which are now still being faced by international society of nation-states. In the creation of this framework, international institutions have been playing a major role. One of these institutions is the World Bank (Bank). However, those who write about the virtues and vices of the main creators of the framework usually disregard the Bank. This article, therefore, argues that this disregard is not justified because the Bank has also been playing a prominent role. Since two informal decisions taken in the past have contributed to this position of the Bank, the article gives in addition to it answers to the following two related questions: whether these informal decisions of the Bank were legal and if so, what implications, if any, they have for the Bank’s legitimacy.


Uyanga Berkel-Dorlig
Ph.D. candidate in the Department of Tax Law, Erasmus School of Law, Erasmus University Rotterdam, The Netherlands.
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