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JoseMariaDelajaraFirstEssay 4 - 09 Oct 2019 - Main.JoseMariaDelajara
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META TOPICPARENT | name="FirstEssay" |
| | The problem | |
< < | Support for open government is growing. However, the progress in opening judicial data sets has been slower than that of the legislative and executive branches. The main fear of judicial officers seems to be the perception that new technologies (i.e. data analytics) could have adverse effects on the employee’s job. In other words, judges seem to be worried that data analytics will show their decisions as they really are: irrational yet predictable. When we face the complete picture of our flawed justice system, will we still accept it? | > > | Support for open government is growing. However, the progress in opening judicial data sets has been slower than that of the legislative and executive branches. The main fear of judicial officers seems to be the perception that new technologies (i.e. data analytics) could have adverse effects on the employee's job. In other words, judges seem to be worried that data analytics will show their decisions as they really are: irrational yet predictable. When we face the complete picture of our flawed justice system, will we still accept it? | | Open justice | |
< < | Open data in the judiciary resides on three principles: (1) transparency, (2) seeking citizen participation (3) institutional collaboration. According to Elena, an open justice system should at least publish (1) court rulings, (2) statistics regarding the performance of courts and (3) budget allocation information. Also, that data should be both legally and technically open. Citizens need to be allowed to freely access, reuse and distribute the data, which should be made available in a machine-readable format and in bulk. | > > | Definition
Open data in the judiciary resides on three principles: (1) transparency, (2) seeking citizen participation (3) and institutional collaboration. According to Elena, an open justice system should at least publish (1) court rulings, (2) statistics regarding the performance of courts and (3) budget allocation information. Also, that data should be both legally and technically open. Citizens would need to be allowed to freely access, reuse and distribute the data, which should be made available in a machine-readable format and in bulk.
Expected effects
Open justice would have beneficial effects both on the public and the private sector. The key promise is that as the data sets keeps growing, machine learning software will be able to depict in more precise terms the decision patterns from legal actors. This could help bridge the access to justice gap by providing guidance to citizens without a lawyer. Also, judicial analytics could level the playing field between big law and public attorneys by providing a basis of the quality of legal claims and evidence. Finally, it could also help judges learn from their mistakes, and provide assistance towards better decision-making.
However, the vast majority of legal data is currently unavailable for analytics. It could be either that it is not shared, or that is not machine-readable. But the main point is that the control of legal data still remains in the hands of a few private entities such as big law firms and companies like Lexis Nexis.
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< < | Effects | | Limits |
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