Transformation beyond digital

The so-called Fourth Industrial Revolution, or Industry 4.0, is transforming social structures, forms of communication and interaction between individuals, in addition to production processes and business models.

Strongly marked by intensive use of advanced technologies such as artificial intelligence (AI), robotics, the internet of things (IoT) and cloud computing, this new era tends to be completely automated. In particular, by systems that combine machines with highly speedy digital processes, with a reach and impact unprecedented in history.

The applicability and efficiency of such systems have already been proven in several areas of human activity, including health, finance, security, transportation, manufacturing and even in judicial sector, where the growing number of conflicts requires solutions that increasingly guarantee coherence, uniformity, predictability, transparency and legal certainty.

That said, we will present some important applications of Artificial Intelligence in the Judiciary and, mainly, how regulations in the country are developing to find appropriate solutions and make assertive decisions about the technology.

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The development of Artificial Intelligence in the Judiciary

Despite the great interest of States in adopting solutions that are capable of optimize service delivery e improve public value, the degree of development and use of emerging technologies, especially the AI in Brazilian justice, is still a long way from reaching its full potential.

Considered the exponent of the moment, the driving force behind the digital economy, AI can be understood as the ability of systems and machines to reproduce intelligence similar to that of people and perform tasks commonly performed by humans, going beyond the mere repetitive reproduction of tasks.

AI can be used by public and private organizations to:

  • Analyze large volumes of data that assist in decision making;
  • Automate administrative processes and decisions;
  • Reduce errors and operational costs;
  • Optimize the use of human and material resources;
  • Increase efficiency and competitiveness;
  • Create social value;
  • Prevent fraud;
  • Offer personalized services
  • Improve management and interaction between different agents.

Applications of Artificial Intelligence in the Judiciary 

In the legal sphere, it enables the automation of workflows, brings rationality and speed to processes and increases traceability, transparency and responsiveness to meet the growing demands generated by society. 

Examples of the use of artificial intelligence in the judiciary include the following:  

  • Fraud investigation; 
  • Predictive analysis and decision making; 
  • Risk analysis; 
  • Crime prevention; 
  • Pattern Recognition; 
  • Recommendations and classifications of petitions (class and subject); 
  • Automated process classification; 
  • Identification and grouping of processes with similar demands; 
  • Batch processing of actions;
  • Search and analysis of judicial decisions that can serve as a reference for resolving future cases; 
  • Automation of processes (generation of draft sentences in electoral accounting, registration of candidacies); 
  • Automatic movement of accountability processes; 
  • Virtual assistant for user support; 
  • Prediction of possibilities for legal agreements; 
  • Analysis of the potential for success for conciliation between the parties involved;
  • Automatic text generation; 
  • Automation of the expertise procedure, screening and textual analysis of procedural documents and resources; 
  • Analysis of legal costs guides; 
  • Generation of petition summaries; 
  • Automatic distribution of warrants to court officials; 
  • Verification of the similarity rate between petitions; 
  • Suggestion of future actions;
  • Forecasting the duration of actions, to support decision making, among others.

AI regulations in the legal field 

As time passes and data becomes available for training models, the list of intelligent features and functions that solutions are (and will be) capable of performing, without any human interference, tends to grow dramatically. 

With the development of technology, as models are trained, they can acquire the capacity to collect information about your performance, find solutions to your problems and make decisions autonomously. 

Given that this is a path of no return, it remains for us to direct our efforts towards regulate the development of AI, without limiting or restricting your advances too much. That is, seeking that the solutions to be made available offer legal certainty and do not violate the fundamental rights and human values ​​as well as democratic values.

The regulatory framework that seeks to fulfill this role and establish general national standards for the development, implementation and responsible use of AI systems is the 2.338 PL / 2023 and, more specifically, within the scope of the Judiciary, the Ordinance No. 271, published by National Council of Justice (CNJ).

These rules aim to standardize the process of creating, storing and making available artificial intelligence models. In addition to defining the functionalities that effectively constitute artificial intelligence and the convenience of optimizing human and financial resources applied within the scope of justice. 

To make these determinations viable, the CNJ, in partnership with the Court of Justice of the State of Rondônia, provided a computational solution (the Synapses) with the aim of storing, testing, training, distributing and auditing any and all AI models to be implemented within the scope of the Judiciary (Resolution No. 332).

The idea is to create a application and resource repository that can be shared among actors who are interested in using it.

Softplan Data Management for the judicial system

Na softplan, the teams that make up the Data Management have been directing part of their efforts towards the study and development of solutions that respond to the needs of the various bodies of the judicial system. 

Thus, transforming the administration of justice through tecnologic innovation, seeking to leave activities that are strategic and knowledge-intensive to institutions.

To know the our team and find out more about solutions offered visit our Portfolio

Paloma Maria Santos and Priscila Rodrigues Vieira

Paloma Maria Santos and Priscila Rodrigues Vieira

Paloma is a New Business Analyst and has a PhD in Engineering and Knowledge Management from the Federal University of Santa Catarina. Member of the Strategic Data Research and Discovery Team (Analytics, Artificial Intelligence and Data) at Softplan. Member of the CNPq research group Electronic government, digital inclusion and knowledge society. Priscila is a Product Manager (teams specializing in data analysis - BI, AI, studies). Master in Engineering and Knowledge Management and MBA in Management of High Performance Teams.

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