THIQAH Company participated in the Arabic Natural Language Processing Conference (ArabicNLP 2024), hosted in the Thai capital, Bangkok, on August 16. The company presented a research paper in collaboration with King Abdullah University of Science and Technology (KAUST) that introduces new standards for evaluating the capabilities of language models to understand legal complexities. A press release by THIQAH highlights the significance of this study, given the rapid development of artificial intelligence (AI) technologies and the increasing need to develop tools capable of understanding various natural languages. It is expected that this study will contribute to enhancing the use of the Arabic language in scientific research and to the development of AI applications that meet the needs of the Arab world. The study developed a new benchmark dataset named "ArabLegalEval," designed to assess large language models" abilities to comprehend Arabic legal texts. This new development represents a significant achievement in the field of linguistic research, as it will improve the performance of language models and the development of smarter applications. During the conference, THIQAH presented the standards established by the study and the anticipated advancements in evaluating the performance of AI systems working with legal texts in Arabic. These standards will allow developers and researchers to assess their models" abilities to understand complex legal terms, extract relevant information from lengthy legal texts, and accurately answer legal questions. In December last year, KAUST and THIQAH signed a memorandum of understanding aimed at revolutionizing industries and unlocking the potential for digital solutions. This partnership reflects THIQAH"s commitment to fostering growth and business success in an ever-evolving digital age. The ArabicNLP 2024 conference, now in its second edition, is the premier annual event in the field of Arabic natural language processing. The conference was attended by a distinguished group of researchers from around the world and was held in light of the rapid developments in AI and the increasing need for digital solutions that accurately handle the Arabic language.