Technical Solutions
Judicial Intelligence System
Given the similarities between the roles of justice in various countries worldwide, there is a common foundation shared by judicial systems, particularly those established from the perspective of institutionalizing judicial power.
After studying different judicial systems worldwide, Dashsoft Engineering successfully developed a performance management platform for the judicial system called “Judicial Intelligent System.” This BI solution features over a hundred dashboards and reports, based on predefined KPIs such as case processing workflow indicators, time management indicators, and backlog reduction indicators. The platform adopts a modular and configurable design and is developed using advanced technologies.
The Judicial Intelligent System (JIS) enables the analysis, evaluation, and diagnosis of judicial performance, serving as a tangible implementation of the “Data-Driven Judicial System” concept. JIS is a high-performance, robust, and ready-to-use solution that can be quickly adapted to any case management system. This allows Dashsoft Engineering’s partners to accelerate the modernization of the management and governance frameworks within the judicial system.
The services provided by the Judicial Intelligent System (JIS) include, but are not limited to, the following:
- Monitoring and evaluating judicial performance through an informed approach based on indicators
- Tracking the implementation of strategies and action plans and measuring the judicial institution’s progress in achieving its objectives
- Detecting and analyzing weaknesses and providing accurate diagnoses to resolve them
- Offering a multitude of indicators that encompass several hierarchical levels
- Measuring the individual performance of judges and clerks
- Identifying pending cases and monitoring the pace of reducing the backlog of old cases
AI & Machine Learning Solutions
For several years, Artificial Intelligence (AI) has established itself as a crucial lever for development and the creation of added value, opening new horizons for the modernization of judicial institutions.
Artificial Intelligence (AI) can be defined as the ability of a digital computer to perform tasks commonly associated with intelligent beings. The term frequently refers to the project of developing systems endowed with intellectual processes characteristic of humans, such as reasoning, discovering meaning, generalizing, and learning from past experiences.
Machine Learning (ML), a subset of AI, focuses on building computer systems that learn from available data. ML algorithms are trained to identify relationships and patterns in data, enabling them to make predictions, classify information, cluster data points, and predict future developments.
While machine learning is a powerful tool for solving problems, improving business operations, and automating tasks, it is also a complex and challenging technology that requires deep expertise and significant resources. Dashsoft Engineering assists its partners in leveraging ML by providing support in the following operations:
- Choosing the right algorithm to resolve issues related to the management of the judicial system at strategic, tactical, and operational levels, which requires strong mathematical and computer skills.
- Training machine learning algorithms to accurately model judicial issues and understand their complexity, which involves using large amounts of high-quality data to produce precise results.
- Interpreting the results provided by ML algorithms. The outcomes, especially those produced by complex algorithms, can be difficult to understand and require specific expertise in mastering AI tools.
- Enhancing judicial IT systems by integrating a second layer of intelligence based on Machine Learning tools.
- Deepening the analysis of judicial system performance by extracting patterns and insights from the vast amounts of data generated by digital systems.
Data warehousing & Big Data Solutions
Data Analysis Assitance
Just as the judicial system generates its own problems, the solutions chosen to resolve these issues must be tailored to the specific working framework of each system. These solutions must consider the unique circumstances of each country, particularly in terms of strategic management, which requires the implementation of appropriate approaches and processes to achieve the desired impact.
