(MENAFN- Khaleej Times) With the new artificial intelligence (AI) system of the Abu Dhabi Judicial Department (ADJD), cases are identified with a high level of accuracy and requests are processed in an efficient and timely manner, said a tech expert.
Alaa Youssef, managing director of SAS Middle East, the firm that offered the AI solutions to Abu Dhabi courts, said judiciary systems worldwide are transforming their operations and functions to keep pace with the digital era.
"Analytics and AI aid the legal sector in doing so. They provide judiciary systems with the capabilities to understand and model their tasks and operations with greater flexibility and accuracy, besides facilitating efficiency and consistency in the overall judicial practice," said Youssef.
He pointed out that the goal to introduce AI system in ADJD was to reduce their time in decision-making.
How the system works
The tech expert explained that the judicial department's engagement with SAS was initiated in three main phases: phase one is based on creating visualisations, which involved viewing operational performance of the organisation, gaining performance insights, and ad-hoc analysis.
Phase two was about more complex data governance. The third phase was the application of AI and machine learning models on real-world business challenges within the judicial system.
"We have been able to tap into huge reserves of data about individuals that is collected by the judicial department. We helped them analyse the information so they may understand certain trends and insights into subjects like criminal behaviour." He noted that the AI initiative aimed to upgrade the overall quality and consistency of judgments.
Youssef said that initially, the challenge was that the data collected by ADJD were in silos.
"All this valuable judicial data had to be extracted, standardised, transformed and loaded into a common repository that established a foundation for reporting or advanced analytics," he said.
IsmailSebugwaawo
MENAFN2906201900490000ID1098703770
Legal Disclaimer:
MENAFN provides the information “as is” without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the provider above.