BR24993166 — Development of a comprehensive online platform, automated legal aid system, and unified lawyer workflow automation system

Goal of the work: The aim of the program is to develop and implement an online platform combining a training service and an automated legal aid system to improve access to qualified legal aid and enhance the legal culture in Kazakhstan.

Relevance of the work:The effectiveness of the program is due to: - Process optimization: automation of legal aid and educational services saves time and resources. - Involvement of participants: reaching a wide audience, including socially vulnerable groups, to receive legal aid and education. - Improving the quality of services: providing personalized solutions and recommendations based on artificial intelligence and data analysis. - Infrastructure improvement: development of a platform integrated with government portals, educational institutions and legal clinics. - Development of digital systems: digitalization and automation of legal processes increase accessibility and efficiency. - Transparency and accountability: ensuring full transparency of legal services processes and increasing user confidence.

Scientific supervisor: Ph.D., Associate Professor, Akhmediyarova Ainur Tanatarovna

Results obtained:  During the 2025 reporting period, all planned tasks of the project were fully completed, focusing on the digital transformation of the legal system. An integrated online platform was developed to provide citizens with access to legal assistance, including modules for user registration, online consultations, educational resources, and an AI-based intelligent assistant. The system was integrated with state information systems, and data protection measures such as anonymization and security monitoring were implemented. Machine learning and natural language processing algorithms were developed to predict court case outcomes based on legal documents and judicial practice. In addition, an AI-based pre-trial dispute resolution module was created to analyze evidence and generate recommendations. The obtained results demonstrate the practical value of the solutions and their readiness for further development and implementation.

List of publications with links to them

1. Shaheen S., Mamyrbayev O., Hashmi M.T., Arshad H., Akhmediyarova A., Oralbekova D. Location-based hybrid video streaming protocol for VANETs // International Journal of Networked and Distributed Computing. – 2025. – Vol. 13, No. 2. DOI: 10.1007/s44227-024-00051-y. URL: https://doi.org/10.1007/s44227-024-00051-y
2. Rahman H.U., Ahmad J., Akhmediyarova A., Oralbekova D., Mamyrbayev O. Deciphering the Role of Circadian Clock in Inflammatory Response and Immune Disorders Using Model Checking and Petri Nets // IEEE Access. DOI: 10.1109/ACCESS.2024.3521499. URL: https://doi.org/10.1109/ACCESS.2024.3521499
3. Javed A., Zan H., Mamyrbayev O., Abdullah M., Ahmed K., Oralbekova D., Dinara K., Akhmediyarova A. Transformer-Based Re-Ranking Model for Enhancing Contextual and Syntactic Translation in Low-Resource Neural Machine Translation // Electronics. – 2025. – Vol. 14, No. 2. – Art. 243. DOI: 10.3390/electronics14020243. URL: https://doi.org/10.3390/electronics14020243
4. Mamyrbayev O., Akhmediyarova A., Oralbekova D., Alimkulova J., Alibiyeva Z. Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms // International Journal of Industrial Engineering and Management. – 2025. DOI: 10.24867/IJIEM-375. URL: https://doi.org/10.24867/IJIEM-375
5. Sattar S., Khan S., Khan A., Akhmediyarova A., Mamyrbayev O., Kassymova D., Oralbekova D., Alimkulova J. Anomaly detection in encrypted network traffic using self-supervised learning // Scientific Reports. – 2025. – Vol. 15. – Art. 26585. DOI: 10.1038/s41598-025-08568-0. URL: https://doi.org/10.1038/s41598-025-08568-0
6. Oralbekova D., Mamyrbayev O., Akhmediyarova A., Kassymova D., Alibiyeva Z. Using Kazakh NER datasets for multiclass classification in the legal domain: a comparative study of BERT, GPT, and LSTM models // Proceedings of the 2025 14th International Conference on Software and Computer Applications (ICSCA ’25). – New York: ACM, 2025. – Pp. 307–312. DOI: 10.1145/3731806.3731855. URL: https://doi.org/10.1145/3731806.3731855
7. Narejo K.R., Zan H., Dharmani K.P., Mamyrbayev O., Akhmediyarova A., Alibiyeva Z., Alimkulova J. Optimizing Sentiment Integration in Image Captioning Using Transformer-Based Fusion Strategies // Computers, Materials & Continua. – 2025. DOI: 10.32604/cmc.2025.065872. URL: https://doi.org/10.32604/cmc.2025.065872
8. Mbongo K.H.R., Ahmed K., Mamyrbayev O., Wang G., Zuo F., Akhmediyarova A., Mukazhanov N., Ayapbergenova A. Conv1D-GRU-SelfAttention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks // Future Internet. – 2025. – Vol. 17. – Art. 301. URL: https://www.scopus.com/pages/publications/105011672171
9. Оралбекова Д., Мамырбаев О., Ахмедиярова А., Касымова Д. Использование наборов данных NER на казахском языке для мультиклассификации в правовой сфере: сравнительное исследование моделей BERT, GPT и LSTM // News of the National Academy of Sciences of the Republic of Kazakhstan. Physico-Mathematical Series. – 2025. – № 1. – С. 242–258. DOI: 10.32014/2025.2518-1726.337. URL: https://doi.org/10.32014/2025.2518-1726.337
10. Оралбекова Д., Ахмедиярова А., Касымова Д., Алибиева Ж. Исследование методов лингвистического анализа для выявления и извлечения текстовых данных на казахском языке // Academic Scientific Journal of Computer Science. – 2025. – Т. 355, № 3. – С. 188–203. DOI: 10.32014/2025.2518-1726.372. URL: https://doi.org/10.32014/2025.2518-1726.372
11. Дәулетханова Ә.Ә. Халыққа онлайн-платформамен тегін заң көмегін көрсету: проблемалар мен перспективасы // Вестник Института законодательства и правовой информации Республики Казахстан. – 2025. – Т. 80, № 2. – С. 226–234. URL: https://vestnik.zqai.kz/index.php/vestnik/article/view/1730/1543