1.
Introduction ^
- The lack of access to the data regarding the judicial system: in the two decades following the Constitution of 1988, there was hardly a system of data collection and information relating to the judiciary system in Brazil as a whole. There was fragmented and isolated information, but without the preparation of indexes, it was not possible to radiograph the judicial system in statistical terms. From the creation of the National Council of Justice and the implementation of its policies, gradually the data relating to the judiciary began to appear publicly, causing the most varied reactions. The most famous example was the impact provoked by a number of researches called «Top 100 litigants,» in which the federal government and banks emerged as the largest plaintiffs in Brazilian courts, and continue in the same position according to the latest report from the 2011 data.
- The lack of access to the evaluation and control systems of modern Western democracies: in continuation of the previous process, the National Council of Justice also has established itself as a body to implement strategic policies to modernize the judiciary. In this process of modernization, agencies and internal teams to CNJ were created, with the aim of producing knowledge and specific techniques that ensure the means for the implementation of new management policies and control. Consequently, we sought in judicial systems of other countries, like the United States, Mexico and the European Union, for elements and experiences that could also be implemented in Brazil. In a sense, we did not have the culture of data collection, measurement, evaluation and control of the judicial system in Brazil.
2.
Brazil: some basic judicial data and expenditures of the Brazilian judiciary ^
The inputs and endowments of Brazilian judiciary3 power were 20.5 billion U.S. Dollars during 2010, which was equivalent to 1.12% of the national GDP and 2% of the expenses of the Federal Union and the States and US$ 106 dollar (R$ 212,37) per year per inhabitant.
2.1.
Humans resources ^
2.2.
Magistrates and work force per hundred thousand inhabitants ^
2.3.1.
General case flow data ^
2.3.2.
Incoming cases per one hundred thousand inhabitants ^
2.3.3.
1st Instance Litigations and Small claims courts ^
2.3.4.
Incoming cases per magistrate and civil servants working in the judiciary area per magistrate in 1st Instance Courts and in Small claims courts ^
2.3.5.
Caseload and backlog rates in First Instance and Small Claims Courts ^
3.
Eletronic lawsuit filing ^
4.
The PJe (Electronic Judicial Process) and the computerization of courts in Brazil ^
5.
The actual situation of Q-Justice in Brazil ^
- Justice in Numbers
- The Supreme Court in Numbers.
5.1.
CNJ ^
Basically, SIESPJ has the basic statistical indicators divided into the following categories:
I – Inputs, allocations and utilization levels:
a) Revenue and expenses;
b) Structure.
II – Litigation:
a) Workload;
b) Rate of congestion;
c) The ability to appeal and retirement decisions.
III – Access to Justice;
IV – Profile of Demands.
5.2.
The Supreme Court in Numbers project ^
6.
Some methodological bases for Q-Justice in Brazil ^
a. There needs to be a culture of transparency and free availability of data.
b. The data provided by the judicial system should be standardized in the usual format database.
c. It would be advisable to standardize the format of the data supply for the entire judiciary.
7.
Conclusion: remarks about E-Justice and Q-Justice in Brazil ^
8.
References ^
[1] Coelho, Flávio Codeço/Souza, Renato Rocha/Cerdeira, Pablo de Camargo. Talk Information Mining and Visualization of a Large Volume of Legal Texts. EuroSciPy – Annual European Conference for Scientists using Python. Paris, 25 a 28 de agosto de 2011. Abstract available at http://www.euroscipy.org/talk/4182
[2] European judicial systems Edition 2010 (data 2008): Efficiency and quality of justice – European Commission for the Efficiency of Justice (CEPEJ). French edition: Les systèmes européens judiciaires. Edition 2010. ISBN 978-92-6986-0 Available at http://www.coe.int/t/dghl/cooperation/cepej/default_en.asp
[3] Estudos sobre os sistemas de coleta de dados: CNJ / Conselho Nacional de Justiça. Série CNJ Acadêmico, n. 4. Departamento de Pesquisas Judiciárias. Brasília: CNJ, agosto 2010. 51 p.
[4] Keilitz, Ingo. Smart Courts: Performance Dashboards and Business Intelligence. In: Future Trends in State Courts 2010. C. Flango, A. McDowell, C. Campbell, and N. Kauder. Williamsburg, VA: NCSC – National Center for State Courts, 2010. p. 72-79. ISBN: 0-89656-274-3. Available at http://www.ncsconline.org/d_kis/trends/index.html
Cesar Antonio Serbena
Professor of Philosophy of Law, Law School, Federal University of Paraná-Brazil
Santos Andrade Square 50, 80020-300 Curitiba, BR
cserbena@gmail.com; http://www.ejustica.ufpr.br
Maurício Dalri Timm do Valle
Professor of Tax Law at Unicuritiba Faculty-Brazil, PhD candidate in Law at Federal University of Paraná-Brazil
Santos Andrade Square 50, 80020-300 Curitiba, BR
mauricio_do_valle@hotmail.com; http://www.ejustica.ufpr.br
- 1 Areader interested in more details of the reports of the European Union and the United States can refer respectively to: European Judicial Systems Edition 2010 (data 2008): Efficiency and quality of justice – European Commission for the Efficiency of Justice – CEPEJ and the report of the NCSC – National Center for State Courts. The report of the European Commission for the Efficiency of Justice, 2010 and 2008 data, is available on the Council of Europe (http://www.coe.int/t/dghl/cooperation/cepej/default_en.asp), the NCSC report is available on its official page on the web (www.ncsc.org).
- 2 Source:Economist Intelligence Unit – The Economist Magazine.
- 3 For more details see Department of Judicial Research at http://www.cnj.jus.br.
- 4 For the exposition of item 1 of this article, we have based on research on the CNJ study Studies on data collection systems.
- 5 The report in The High Numbers is available at http://www.supremoemnumeros.com.br/i-relatorio-abril2011-o-multiplo-supremo/.
- 6 Betweenthe time of writing and completing this article, the CNJ provided through Ordinance n. 216 of December 19, 2012, the entire database that underlies the report «Justice in Numbers» of the year 2009 for free consultation on the web-site at http://www.cnj.jus.br/programas-de-a-a-z/eficiencia-modernizacao-etransparencia/pj-justica-em-numeros/2013-01-04-19-13-21.
- 7 ResearchersCodeço Flavio Coelho, Renato Souza Rocha and Pablo Camargo Cerdeira developed two applications on the database processes the STF. In the first application, the work Talk Information Mining and Visualization of a Large Volume of Legal Texts (http://www.euroscipy.org/talk/4182), they developed an animation that shows the first test plot of the law according to the Brazilian Supreme. It lists the laws cited in more than 1.2 million decisions. When two laws are mentioned together in the same decision they form a link between them, and when each new decision in which they appear together is found this link is strengthened. With this we can see how the ministers of the Supreme Court associate depicted in space. Graph Relationship between laws and Flavio Coelho Pablo Cerdeira, description and video available at http://www.youtube.com/watch?v=zbHXj3ANbqE. The second application used a clustering technique based on several variables: the main branches are the states of the federation, the first branches are the types of decisions (monocratic, presidency, full etc.), The second branches represent procedural classes (aggravations instrument, ADIs etc..) and (the circles at the end) represents the amount of decisions. Thus it becomes possible to see which states are growing fastest in each period, and identify each type of decision in each class proceedings. This large amount of information is almost impossible to be perceived in traditional views of graphs. Description Pablo Cerdeira in http://www.supremoemnumeros.com.br. The view held by Flavio C. Coelho, is available at http://www.youtube.com/watch?v=IHnJyfNoEgg&feature=player_embedded.
- 8 Cf. Ingo Keilitz, Smart Courts: Performance Dashboards and Business Intelligence.
- 9 Anexample of dynamic graphs is the system used by the state courts of Utah, the Utah Courts Performance Measures, which can be accessed at http://www.utcourts.gov/courtools/.