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Abu Dhabi Judicial Department reviews AI initiatives to advance judicial, notary services - Emirates 24|7

WAM · Jun 8

The Abu Dhabi Judicial Department is conducting a review of its various artificial intelligence initiatives. This assessment aims to evaluate the progress and potential of AI technologies in enhancing both judicial processes and notary services within the emirate. The department is focused on integrating AI to improve efficiency, accessibility, and overall quality within the legal system. Why it matters: This initiative highlights the UAE's strategic commitment to modernizing public services through advanced technology and positions Abu Dhabi as a leader in AI adoption within the government and legal sectors.

Prediction of Arabic Legal Rulings using Large Language Models

arXiv · Oct 16

This paper introduces a predictive analysis of Arabic court decisions, utilizing 10,813 real commercial court cases. The study evaluates LLaMA-7b, JAIS-13b, and GPT3.5-turbo models under zero-shot, one-shot, and fine-tuned training paradigms, also experimenting with summarization and translation. GPT-3.5 models significantly outperformed others, exceeding JAIS model performance by 50%, while also demonstrating the unreliability of most automated metrics. Why it matters: This research bridges computational linguistics and Arabic legal analytics, offering insights for enhancing judicial processes and legal strategies in the Arabic-speaking world.

Abu Dhabi Judicial Department reviews AI initiatives to advance judicial, notary services - Emirates 24|7

WAM · Jun 8

The Abu Dhabi Judicial Department is conducting a review of its artificial intelligence initiatives. These initiatives aim to enhance and modernize both judicial and notary services within the emirate. The review seeks to identify effective strategies for integrating AI technologies into the existing legal framework and public service delivery. Why it matters: This demonstrates the Abu Dhabi government's strategic commitment to leveraging AI for improving public administration and service efficiency in the judicial sector.