Automating Legal Compliance and Contract Management: Advances in Data Analytics for Risk Assessment, Regulatory Adherence, and Negotiation Optimization
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The integration of data analytics into legal compliance and contract management is transforming traditional processes by automating risk assessments, enhancing regulatory adherence, and optimizing negotiations. This paper reviews state-of-the-art applications of advanced analytics, focusing on technologies such as predictive analytics, machine learning, and natural language processing (NLP). These tools enable organizations to streamline contract drafting, detect compliance risks in real-time, and derive actionable insights to enhance negotiation strategies. The proposed framework leverages predictive analytics to identify potential regulatory and contractual risks before they materialize, reducing legal exposure and operational inefficiencies. Machine learning models are employed to analyze historical data, detect anomalies, and provide evidence-based recommendations for compliance measures. NLP further enhances contract management by automating the review, interpretation, and redlining of legal documents, thus minimizing human error and increasing process efficiency. Key attributes of this framework include scalability and cross-sector applicability, allowing organizations in industries ranging from finance to manufacturing to adapt these technologies to their specific needs. By automating routine tasks and providing advanced analytical capabilities, this approach frees legal teams to focus on strategic decision-making and complex problem-solving. The paper also addresses ethical considerations in adopting these technologies, including concerns about data privacy, algorithmic transparency, and potential biases in automated decision-making. It emphasizes the importance of designing systems that ensure fairness, accountability, and compliance with ethical and legal standards. In conclusion, automating legal compliance and contract management through data analytics offers significant benefits, including enhanced efficiency, reduced risk, and improved negotiation outcomes. By incorporating cutting-edge technologies into legal workflows, organizations can achieve greater operational resilience and adaptability in an increasingly complex regulatory landscape. This research highlights the potential of data-driven solutions to revolutionize legal practices and establishes a foundation for future innovation in this critical domain.
Adepoju, A. H., Austin-Gabriel, B., Eweje, A., & Collins, A., 2022. Framework for Automating Multi-Team Workflows to Maximize Operational Efficiency and Minimize Redundant Data Handling. IRE Journals, 5(9).
Adepoju, A. H., Austin-Gabriel, B., Hamza, O., & Collins, A., 2022. Advancing Monitoring and Alert Systems: A Proactive Approach to Improving Reliability in Complex Data Ecosystems. IRE Journals, 5(11).
Adepoju, P. A., Adeola, S., Ige, B., Chukwuemeka, C., Oladipupo Amoo, O., & Adeoye, N. (2023). AI-driven security for next-generation data centers: Conceptualizing autonomous threat detection and response in cloud-connected environments. GSC Advanced Research and Reviews, 15(2), 162–172. https://doi.org/10.30574/gscarr.2023.15.2.0136
Adepoju, P. A., Adeola, S., Ige, B., Chukwuemeka, C., Oladipupo Amoo, O., & Adeoye, N. (2022). Reimagining multi-cloud interoperability: A conceptual framework for seamless integration and security across cloud platforms. Open Access Research Journal of Science and Technology, 4(1), 071–082. https://doi.org/10.53022/oarjst.2022.4.1.0026
Adepoju, P. A., Adeoye, N., Hussain, Y., Austin-Gabriel, B., & Ige, B. (2023). Geospatial AI and data analytics for satellite-based disaster prediction and risk assessment. Open Access Research Journal of Engineering and Technology, 4(2), 058–066. https://doi.org/10.53022/oarjet.2023.4.2.0058
Adepoju, P. A., Akinade, A. O., Ige, A. B., & Afolabi, A. I. (2021). A conceptual model for network security automation: Leveraging AI-driven frameworks to enhance multi-vendor infrastructure resilience. International Journal of Science and Technology Research Archive, 1(1), 039–059. https://doi.org/10.53771/ijstra.2021.1.1.0034
Adepoju, P. A., Akinade, A. O., Ige, A. B., & Afolabi, A. I. (2024). Cloud security challenges and solutions: A review of current best practices. International Journal of Multidisciplinary Research and Growth Evaluation, 6(1), 26–35. https://doi.org/10.54660/.ijmrge.2025.6.1.26-35
Adepoju, P. A., Akinade, A. O., Ige, A. B., & Afolabi, A. I. (2024). Artificial intelligence in traffic management: A review of smart solutions and urban impact. IRE Journals, 7, Retrieved from https://www.irejournals.com/formatedpaper/1705886.pdf
Adepoju, P. A., Akinade, A. O., Ige, A. B., Afolabi, A. I. (2023). A systematic review of cybersecurity issues in healthcare IT: Threats and solutions. Iconic Research and Engineering Journals, 7(10).
Adepoju, P. A., Akinade, A. O., Ige, A. B., Afolabi, A. I., & Amoo, O. O. (2022). Advancing segment routing technology: A new model for scalable and low-latency IP/MPLS backbone optimization. Open Access Research Journal of Science and Technology, 5(2), 077–095.
https://doi.org/10.53022/oarjst.2022.5.2.0056
Adepoju, P. A., Akinade, A. O., Ige, B., & Adeoye, N. (2023). Evaluating AI and ML in cybersecurity: A USA and global perspective. GSC Advanced Research and Reviews, 17(1), 138–148.
https://doi.org/10.30574/gscarr.2023.17.1.0409
Adepoju, P. A., Austin-Gabriel, B., Hussain, N. Y., Ige, A. B., & Afolabi, A. I. (2023). Natural language processing frameworks for real-time decision-making in cybersecurity and business analytics. International Journal of Science and Technology Research Archive, 4(2), 086–095.
https://doi.org/10.53771/ijstra.2023.4.2.0018
Adepoju, P. A., Austin-Gabriel, B., Hussain, N., & Afolabi, A. I. (2024). Large language models for automating data insights and enhancing business process improvements. International Journal Of Engineering Research And Development, 20(12), 198–203. Retrieved from
https://mail.ijerd.com/paper/vol20-issue12/2012198203.pdf
Adepoju, P. A., Austin-Gabriel, B., Hussain, Y., Ige, B., Amoo, O. O., & Adeoye, N. (2021). Advancing zero trust architecture with AI and data science for
Adepoju, P. A., Austin-Gabriel, B., Ige, A. B., Hussain, N. Y., Amoo, O. O., & Afolabi, A. I., 2022. Machine learning innovations for enhancing quantum-resistant cryptographic protocols in secure communication. Open Access Research Journal of Multidisciplinary Studies, 04(01), pp.131-139. https://doi.org/10.53022/oarjms.2022.4.1.0075
Adepoju, P. A., Austin-Gabriel, B., Ige, B., Hussain, Y., Amoo, O. O., & Adeoye, N. (2022). Machine learning innovations for enhancing quantum-resistant cryptographic protocols in secure communication. Open Access Research Journal of Multidisciplinary Studies, 4(1), 131–139. https://doi.org/10.53022/oarjms.2022.4.1.0075
Adepoju, P. A., Chukwuemeka, C., Ige, B., Adeola, S., & Adeoye, N. (2024). Advancing real-time decision-making frameworks using interactive dashboards for crisis and emergency management. International Journal of Management & Entrepreneurship Research, 6(12), 3915–3950. https://doi.org/10.51594/ijmer.v6i12.1762
Adepoju, P. A., Hussain, N. Y., Austin-Gabriel, B., & Afolabi, A. I., 2024. Data Science Approaches to Enhancing Decision-Making in Sustainable Development and Resource Optimization. International Journal of Engineering Research and Development, 20(12), pp.204-214.
Adepoju, P. A., Hussain, N. Y., Austin-Gabriel, B., & Afolabi, A. I. (2024). Data science approaches to enhancing decision-making in sustainable development and resource optimization. ResearchGate. Retrieved from
Adepoju, P. A., Hussain, N., Austin-Gabriel, B., & Afolabi, A. I. (2024). AI and predictive modeling for pharmaceutical supply chain optimization and market analysis. ResearchGate. Retrieved from https://www.researchgate.net/publication/387772601_AI_and_Predictive_Modeling_for_Pharmaceutical_Supply_Chain_Optimization_and_Market_Analysis
Adepoju, P. A., Hussain, Y., Austin-Gabriel, B., Ige, B., Amoo, O. O., & Adeoye, N. (2023). Generative AI advances for data-driven insights in IoT, cloud technologies, and big data challenges. Open Access Research Journal of Multidisciplinary Studies, 6(1), 051–059. https://doi.org/10.53022/oarjms.2023.6.1.0040
Adepoju, P. A., Ige, A. B., Akinade, A. O., & Afolabi, A. I. (2024). Machine learning in industrial applications: An in-depth review and future directions. International Journal of Multidisciplinary Research and Growth Evaluation, 6(1), 36–44.
https://doi.org/10.54660/.ijmrge.2025.6.1.36-44
Adepoju, P. A., Ike, C. C., Ige, A. B., Oladosu, S. A., & Afolabi, A. I. (2024). Advancing predictive analytics models for supply chain optimization in global trade systems. International Journal of Applied Research in Social Sciences, 6(12), 2929–2948. https://doi.org/10.51594/ijarss.v6i12.1769
Adepoju, P. A., Ike, C. C., Ige, A. B., Oladosu, S. A., Amoo, O. O., & Afolabi, A. I. (2023). Advancing machine learning frameworks for customer retention and propensity modeling in E-Commerce platforms. GSC Advanced Research and Reviews, 14(2), 191–203. https://doi.org/10.30574/gscarr.2023.14.2.0017
Adepoju, P. A., Ikwuanusi, F., & Odionu, C. S. (2023). Advancing ethical AI practices to solve data privacy issues in library systems. International Journal of Multidisciplinary Research Updates, 6(2), 033–044.
https://doi.org/10.53430/ijmru.2023.6.1.0063
Adepoju, P. A., Ikwuanusi, F., & Odionu, C. S. (2023). AI-driven solutions for personalized knowledge dissemination and inclusive library user experiences. International Journal of Engineering Research Updates, 4(2), 052–062.
https://doi.org/10.53430/ijeru.2023.4.2.0023
Adepoju, P. A., Ikwuanusi, F., & Odionu, C. S. (2023). Developing predictive analytics frameworks to optimize collection development in modern libraries. International Journal of Scientific Research Updates, 5(2), 116–128.
https://doi.org/10.53430/ijsru.2023.5.2.0038
Adepoju, P. A., Odionu, C. S., Ikwuanusi, F., Azubuike, C., & Sule, K. (2024). The impact of agile methodologies on IT service management: A study of ITIL framework implementation in banking. Engineering Science & Technology Journal, 5(12), 3297–3310. https://doi.org/10.51594/estj.v5i12.1786
Adepoju, P. A., Oladosu, S. A., Ige, A. B., Ike, C. C., Amoo, O. O., & Afolabi, A. I. (2022). Next-generation network security: Conceptualizing a Unified, AI-Powered Security Architecture for Cloud-Native and On-Premise Environments. International Journal of Science and Technology Research Archive, 3(2), 270–280.
https://doi.org/10.53771/ijstra.2022.3.2.0143
Adepoju, P. A., Sule, K., Ikwuanusi, F., Azubuike, C., & Odionu, C. S. (2024). Enterprise architecture principles for higher education: Bridging technology and stakeholder goals. International Journal of Applied Research in Social Sciences, 6(12), 2997–3009. https://doi.org/10.51594/ijarss.v6i12.1785
Adesina, A. A., Iyelolu, T. V., & Paul, P. O. (2024). Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights. World Journal of Advanced Research and Reviews, 22(3), 1927-1934.
Afolabi, A. I., Hussain, N. Y., Austin-Gabriel, B., Ige, A. B., & Adepoju, P. A., 2023. Geospatial AI and data analytics for satellite-based disaster prediction and risk assessment. Open Access Research Journal of Engineering and Technology, 04(02), pp.058-066.
Ajegbile, M. D., Olaboye, J. A., Maha, C. C., & Tamunobarafiri, G. (2024). Integrating business analytics in healthcare: Enhancing patient outcomes through data-driven decision making. World J Biol Pharm Health Sci, 19, 243-50.
Al-Assaf, K., Bahroun, Z., & Ahmed, V. (2024, December). Transforming Service Quality in Healthcare: A Comprehensive Review of Healthcare 4.0 and Its Impact on Healthcare Service Quality. In Informatics (Vol. 11, No. 4, p. 96). MDPI.
Attah, R. U., Garba, B. M. P., Gil-Ozoudeh, I., & Iwuanyanwu, O. (2024). Leveraging geographic information systems and data analytics for enhanced public sector decision-making and urban planning.
Austin-Gabriel, B., Afolabi, A. I., Ike, C. C., & Hussain, N. Y., 2024. A critical review of AI-driven strategies for entrepreneurial success. International Journal of Management & Entrepreneurship Research, 6(1), pp.200-215.
www.fepbl.com/index.php/ijmer
Austin-Gabriel, B., Afolabi, A. I., Ike, C. C., & Hussain, N. Y., 2024. AI and machine learning for adaptive elearning platforms in cybersecurity training for entrepreneurs. Computer Science & IT Research Journal, 5(12), pp.2715-2729.
Austin-Gabriel, B., Afolabi, A. I., Ike, C. C., & Hussain, N. Y., 2024. AI and machine learning for detecting social media-based fraud targeting small businesses. Open Access Research Journal of Engineering and Technology, 07(02), pp.142-152.
Austin-Gabriel, B., Afolabi, A. I., Ike, C. C., & Hussain, N. Y., 2024. AI-Powered elearning for front-end development: Tailored entrepreneurship courses. International Journal of Management & Entrepreneurship Research, 6(12), pp.4001-4014.
Austin-Gabriel, B., Hussain, N. Y., Adepoju, P. A., & Afolabi, A. I., 2024. Large Language Models for Automating Data Insights and Enhancing Business Process Improvements. International Journal of Engineering Research and Development, 20(12), pp.198-203.
Austin-Gabriel, B., Hussain, N. Y., Ige, A. B., Adepoju, P. A., and Afolabi, A. I., 2023. Natural language processing frameworks for real-time decision-making in cybersecurity and business analytics. International Journal of Science and Technology Research Archive, 04(02), pp.086-095.
Austin-Gabriel, B., Hussain, N. Y., Ige, A. B., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I., 2021. Advancing zero trust architecture with AI and data science for enterprise cybersecurity frameworks. Open Access Research Journal of Engineering and Technology, 01(01), pp.047-055.
https://doi.org/10.53022/oarjet.2021.1.1.0107
Avwioroko, A. (2023). Biomass Gasification for Hydrogen Production. Engineering Science & Technology Journal, 4(2), 56-70.
Avwioroko, A. (2023). The integration of smart grid technology with carbon credit trading systems: Benefits, challenges, and future directions. Engineering Science & Technology Journal, 4(2), 33–45.
Avwioroko, A. (2023). The potential, barriers, and strategies to upscale renewable energy adoption in developing countries: Nigeria as a case study. Engineering Science & Technology Journal, 4(2), 46–55.
Avwioroko, A., & Ibegbulam, C. (2024). Contribution of Consulting Firms to Renewable Energy Adoption. International Journal of Physical Sciences Research, 8(1), 17-27.
Avwioroko, A., Ibegbulam, C., Afriyie, I., & Fesomade, A. T. (2024). Smart Grid Integration of Solar and Biomass Energy Sources. European Journal of Computer Science and Information Technology, 12(3), 1-14.
Avwioroko, Afor. (2023). Biomass Gasification for Hydrogen Production. Engineering Science & Technology Journal. 4. 56-70.
51594/estj.v4i2.1289.
Awan, U., Shamim, S., Khan, Z., Zia, N. U., Shariq, S. M., & Khan, M. N. (2021). Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance. Technological Forecasting and Social Change, 168, 120766.
Awang, N. (2023): Contract Law and Artificial Intelligence: Examine the Implications of AI on Contract Negotiation and Execution, Including the Challenges of Automated Contracting.
Aziza, O. R., Uzougbo, N. S., & Ugwu, M. C. (2023). AI and the future of contract management in the oil and gas sector. World Journal of Advanced Research and Reviews, 19(3), 1571-1581.
Babalola, O., Nwatu, C. E., Folorunso, A. & Adewa, A. (2024). A governance framework model for cloud computing: Role of AI, security, compliance, and management. World Journal of Advanced Research Reviews
Balakrishna, S., & Solanki, V. K. (2024). A comprehensive review on ai-driven healthcare transformation. Ingeniería Solidaria, 20(2), 1-30.
Bello, O. A., Folorunso, A., Ejiofor, O. E., Budale, F. Z., Adebayo, K., & Babatunde, O. A. (2023). Machine Learning Approaches for Enhancing Fraud Prevention in Financial Transactions. International Journal of Management Technology, 10(1), 85-108.
Bello, O. A., Folorunso, A., Ogundipe, A., Kazeem, O., Budale, A., Zainab, F., & Ejiofor, O. E. (2022). Enhancing Cyber Financial Fraud Detection Using Deep Learning Techniques: A Study on Neural Networks and Anomaly Detection. International Journal of Network and Communication Research, 7(1), 90-113.
Bello, O. A., Folorunso, A., Onwuchekwa, J., & Ejiofor, O. E. (2023). A Comprehensive Framework for Strengthening USA Financial Cybersecurity: Integrating Machine Learning and AI in Fraud Detection Systems. European Journal of Computer Science and Information Technology, 11(6), 62-83.
Bello, O. A., Folorunso, A., Onwuchekwa, J., Ejiofor, O. E., Budale, F. Z., & Egwuonwu, M. N. (2023). Analysing the Impact of Advanced Analytics on Fraud Detection: A Machine Learning Perspective. European Journal of Computer Science and Information Technology, 11(6), 103-126.
Bhagat, S. V., & Kanyal, D. (2024). Navigating the Future: The Transformative Impact of Artificial Intelligence on Hospital Management-A Comprehensive Review. Cureus, 16(2).
Bibri, S. E. (2021). Data-driven smart sustainable cities of the future: Urban computing and intelligence for strategic, short-term, and joined-up planning. Computational Urban Science, 1(1), 8.
Bibri, S. E. (2021). Data-driven smart sustainable cities of the future: An evidence synthesis approach to a comprehensive state-of-the-art literature review. Sustainable Futures, 3, 100047.
Bibri, S. E. (2021). Data-driven smart sustainable cities of the future: Urban computing and intelligence for strategic, short-term, and joined-up planning. Computational Urban Science, 1(1), 8.
Bibri, S. E. (2021). Data-driven smart sustainable cities of the future: An evidence synthesis approach to a comprehensive state-of-the-art literature review. Sustainable Futures, 3, 100047.
Bibri, S. E. (2023). Data-driven smart eco-cities of the future: an empirically informed integrated model for strategic sustainable urban development. World Futures, 79(7-8), 703-746.
Bibri, S. E. (2023). Data-driven smart eco-cities of the future: an empirically informed integrated model for strategic sustainable urban development. World Futures, 79(7-8), 703-746.
Bibri, S. E., & Bibri, S. E. (2018). Unprecedented innovations in sustainable urban planning: novel analytical solutions and data-driven decision-making processes. Smart Sustainable Cities of the Future: The Untapped Potential of Big Data Analytics and Context–Aware Computing for Advancing Sustainability, 247-296.
Bibri, S. E., & Krogstie, J. (2017). The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis. Journal of Big Data, 4, 1-50.
Bibri, S. E., Huang, J., & Krogstie, J. (2024). Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance. Sustainable Cities and Society, 108, 105516.
Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024). Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review. Environmental Science and Ecotechnology, 19, 100330.
Blazquez, D., & Domenech, J. (2018). Big Data sources and methods for social and economic analyses. Technological Forecasting and Social Change, 130, 99-113.
Boujarra, M., Lechhab, A., Al Karkouri, A., Zrigui, I., Fakhri, Y., & Bourekkadi, S. (2024). Revolutionizing logistics through deep learning: Innovative solutions to optimize data security. J. Theor. Appl. Inf. Technol, 102, 1593-1607.
Calero, J. A. M., Rituerto-González, E., Luis-Mingueza, C., Canabal, M. F., Bárcenas, A. R., Lanza-Gutiérrez, J. M., ... & López-Ongil, C. (2022). Bindi: affective internet of things to combat gender-based violence. IEEE Internet of Things Journal, 9(21), 21174-21193.
Choi, T. M., Chan, H. K., & Yue, X. (2016). Recent development in big data analytics for business operations and risk management. IEEE transactions on cybernetics, 47(1), 81-92.
cybersecurity resilience. ResearchGate. https://www.researchgate.net/publication/35755511
Daniel, C. P. (2023). Socio-economic Determinants of Gender-based Violence [GBV]: SDG Analytics on the Global GBV Scenario With Special Reference to Technology Facilitated Gender-based Violence and Adolescent Birth Rates.
Ehidiamen, A. J., & Oladapo, O. O. (2024). Optimizing contract negotiations in clinical research: Legal strategies for safeguarding sponsors, vendors, and institutions in complex trial environments. World Journal of Biology Pharmacy and Health Sciences, 20(01), 335-348.
Elujide, I., Fashoto, S. G., Fashoto, B., Mbunge, E., Folorunso, S. O., & Olamijuwon, J. O. (2021). Application of deep and machine learning techniques for multi-label classification performance on psychotic disorder diseases. Informatics in Medicine Unlocked, 23, 100545.
Elujide, I., Fashoto, S. G., Fashoto, B., Mbunge, E., Folorunso, S. O., & Olamijuwon, J. O. (2021). Informatics in Medicine Unlocked.
Fathima, M., Dhinakaran, D. P., Thirumalaikumari, T., Devi, S. R., MR, B., & Shanthi, P. (2024, April). Effectual Contract Management and Analysis with AI-Powered Technology: Reducing Errors and Saving Time in Legal Document. In 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) (pp. 1-6). IEEE.
Folorunso, A. (2024). Assessment of Internet Safety, Cybersecurity Awareness and Risks in Technology Environment among College
Students. Cybersecurity Awareness and Risks in Technology Environment among College Students (July 01, 2024).
Folorunso, A. (2024). Cybersecurity And Its Global Applicability to Decision Making: A Comprehensive Approach in The University System. Available at SSRN 4955601.
Folorunso, A. (2024). Information Security Management Systems (ISMS) on patient information protection within the healthcare industry in Oyo, Nigeria. Nigeria (April 12, 2024).
Folorunso, A., Adewumi, T., Adewa, A., Okonkwo, R., & Olawumi, T. N. (2024). Impact of AI on cybersecurity and security compliance. Global Journal of Engineering and Technology Advances, 21(01), 167-184.
Folorunso, A., Mohammed, V., Wada, I., & Samuel, B. (2024). The impact of ISO security standards on enhancing cybersecurity posture in organizations. World Journal of Advanced Research and Reviews, 24(1), 2582-2595.
Folorunso, A., Nwatu Olufunbi Babalola, C. E., Adedoyin, A., & Ogundipe, F. (2024). Policy framework for cloud computing: AI, governance, compliance, and management. Global Journal of Engineering and Technology Advances
Folorunso, A., Olanipekun, K., Adewumi, T., & Samuel, B. (2024). A policy framework on AI usage in developing countries and its impact. Global Journal of Engineering and Technology Advances, 21(01), 154-166.
Folorunso, A., Wada, I., Samuel, B., & Mohammed, V. (2024). Security compliance and its implication for cybersecurity.
Gates, J. D., Yulianti, Y., & Pangilinan, G. A. (2024). Big Data Analytics for Predictive Insights in Healthcare. International Transactions on Artificial Intelligence, 3(1), 54-63.
Gazi, M. S. (2024). Optimizing Regional Business Performance: Leveraging Business and Data Analytics in Logistics & Supply Chain Management for USA's Sustainable Growth. Journal of Business and Management Studies, 6(2), 144-152.
González-Prieto, Á., Brú, A., Nuño, J. C., & González-Álvarez, J. L. (2021). Machine learning for risk assessment in gender-based crime. arXiv preprint arXiv:2106.11847.
Goulart, C. M., Purewal, A., Nakhuda, H., Ampadu, A., Giancola, A., Kortenaar, J. L., & Bassani, D. G. (2021). Tools for measuring gender equality and women’s empowerment (GEWE) indicators in humanitarian settings. Conflict and health, 15(1), 39.
Haelterman, H. (2022). Breaking silos of legal and regulatory risks to outperform traditional compliance approaches. European Journal on Criminal Policy and Research, 28(1), 19-36.
Hassan, F. U., Le, T., & Le, C. (2023). Automated approach for digitalizing scope of work requirements to support contract management. Journal of Construction Engineering and Management, 149(4), 04023005.
Henry, N., Witt, A., & Vasil, S. (2024). A ‘design justice’approach to developing digital tools for addressing gender-based violence: exploring the possibilities and limits of feminist chatbots. Information, Communication & Society, 1-24.
Hui, V., Constantino, R. E., & Lee, Y. J. (2023). Harnessing machine learning in tackling domestic Violence—An integrative review. International journal of environmental research and public health, 20(6), 4984.
Hulicki, M. (2017, June). The legal framework and challenges of smart contract applications. In Conference on System Sciences (pp. 3-4).
Hussain, N. Y., Austin-Gabriel, B., Adepoju, P. A., & Afolabi, A. I., 2024. AI and Predictive Modeling for Pharmaceutical Supply Chain Optimization and Market Analysis. International Journal of Engineering Research and Development, 20(12), pp.191-197.
Hussain, N. Y., Austin-Gabriel, B., Ige, A. B., Adepoju, P. A., and Afolabi, A. I., 2023. Generative AI advances for data-driven insights in IoT, cloud technologies, and big data challenges. Open Access Research Journal of Multidisciplinary Studies, 06(01), pp.051-059.
Hussain, N. Y., Austin-Gabriel, B., Ige, A. B., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I., 2021. AI-driven predictive analytics for proactive security and optimization in critical infrastructure systems. Open Access Research Journal of Science and Technology, 02(02), pp.006-015. https://doi.org/10.53022/oarjst.2021.2.2.0059
Ige, A. B., Austin-Gabriel, B., Hussain, N. Y., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I., 2022. Developing multimodal AI systems for comprehensive threat detection and geospatial risk mitigation. Open Access Research Journal of Science and Technology, 06(01), pp.093-101. https://doi.org/10.53022/oarjst.2022.6.1.0063
Jain, A., Soojin Yoon, F., Kang, K., & Hastak, M. (2022). Implementation of the data-driven analytics protocol through facility management and real estate industry cases. Journal of Management in Engineering, 38(1), 04021077.
Jewkes, R., Willan, S., Heise, L., Washington, L., Shai, N., Kerr-Wilson, A., ... & Christofides, N. (2021). Elements of the design and implementation of interventions to prevent violence against women and girls associated with success: reflections from the what works to prevent violence against women and girls? Global programme. International journal of environmental research and public health, 18(22), 12129.
Khurana, D., Koli, A., Khatter, K., & Singh, S. (2023). Natural language processing: state of the art, current trends and challenges. Multimedia tools and applications, 82(3), 3713-3744.
Koc, S. (2024). Legal Compliance Protocols for Blockchain Smart Contracts: A New Era of Regulatory Compliance. Authorea Preprints.
Kumar, M. G. (2023). The Impact of Smart Contracts and AI on Traditional Contract Law in India. Issue 3 Int'l JL Mgmt. & Human., 6, 3211.
Leal Filho, W., Mbah, M. F., Dinis, M. A. P., Trevisan, L. V., de Lange, D., Mishra, A., ... & Aina, Y. A. (2024). The role of artificial intelligence in the implementation of the UN Sustainable Development Goal 11: Fostering sustainable cities and communities. Cities, 150, 105021.
Li, F., Yigitcanlar, T., Nepal, M., Nguyen, K., & Dur, F. (2023). Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework. Sustainable Cities and Society, 96, 104653.
Liu, B., Li, Q., Zheng, Z., Huang, Y., Deng, S., Huang, Q., & Liu, W. (2025). A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization. Algorithms, 18(1), 30.
Machireddy, J. R., Rachakatla, S. K., & Ravichandran, P. (2021). AI-Driven Business Analytics for Financial Forecasting: Integrating Data Warehousing with Predictive Models. Journal of Machine Learning in Pharmaceutical Research, 1(2), 1-24.
Makau, A. N. (2023). Sexual and Gender-Based Violence reporting and pattern analysis tool: a case of Nairobi County (Doctoral dissertation, Strathmore University).
Manzoor, M. A., Hassan, S. U., Muazzam, A., Tuarob, S., & Nawaz, R. (2023). Social mining for sustainable cities: thematic study of gender-based violence coverage in news articles and domestic violence in relation to COVID-19. Journal of ambient intelligence and humanized computing, 14(11), 14631-14642.
Martinelli, S. (2023). AI as a Tool to Manage Contracts Consequences and Challenges in Applying Legal Tech to Contracts Management. European Review of Private Law, 31(2/3).
Mazumder, M. S. A. (2024). The Transformative Impact of Big Data in Healthcare: Improving Outcomes, Safety, and Efficiencies. Global Mainstream Journal of Business, Economics, Development & Project Management, 3(03), 01-12.
Mugecha, D. G., & Ndeto, C. (2024). Contract Management Practices And Procurement Performance In Metropolitan County Governments, Kenya. Journal of Applied Social Sciences in Business and Management, 3(2), 195-210.
Munawar, H. S., Qayyum, S., Ullah, F., & Sepasgozar, S. (2020). Big data and its applications in smart real estate and the disaster management life cycle: A systematic analysis. Big Data and Cognitive Computing, 4(2), 4.
Nwaimo, C. S., Adegbola, A. E., & Adegbola, M. D. (2024). Transforming healthcare with data analytics: Predictive models for patient outcomes. GSC Biological and Pharmaceutical Sciences, 27(3), 025-035.
Nwatu, C. E., Folorunso, A. A., & Babalola, O. (2024, November 30). A comprehensive model for ensuring data compliance in cloud computing environment. World Journal of Advanced Research
Pandy, G., Pugazhenthi, V. J., Chinnathambi, J. K., & Murugan, A. (2024). Smart Automation for Client Service Agreement: Robotics in Action. Journal ID, 9471, 1297.
Paramesha, M., Rane, N. L., & Rane, J. (2024). Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. Partners Universal Multidisciplinary Research Journal, 1(2), 110-133.
Rahman, A., Karmakar, M., & Debnath, P. (2023). Predictive Analytics for Healthcare: Improving Patient Outcomes in the US through Machine Learning. Revista de Inteligencia Artificial en Medicina, 14(1), 595-624.
Rathore, M. M., Ahmad, A., Paul, A., & Rho, S. (2016). Urban planning and building smart cities based on the internet of things using big data analytics. Computer networks, 101, 63-80.
Reyes, S., & Patel, M. (2024). Big Data and Predictive Analytics for Optimized Supply Chain Management and Logistics. Sage Science Review of Applied Machine Learning, 7(1), 10-21.
Rodríguez-Rodríguez, I., Rodríguez, J. V., Pardo-Quiles, D. J., Heras-González, P., & Chatzigiannakis, I. (2020). Modeling and forecasting gender-based violence through machine learning techniques. Applied Sciences, 10(22), 8244.
Saggi, M. K., & Jain, S. (2018). A survey towards an integration of big data analytics to big insights for value-creation. Information Processing & Management, 54(5), 758-790.
Salehi, F. (2024). The Transformative Role of Artificial Intelligence in the Healthcare Industry: A Comprehensive Analysis. Asian Journal of Research in Medicine and Medical Science, 6(1), 62-70.
Sheta, S. V. (2020). Enhancing Data Management in Financial Forecasting with Big Data Analytics. International Journal of Computer Engineering and Technology (IJCET), 11(3), 73-84.
Sigalov, K., Ye, X., König, M., Hagedorn, P., Blum, F., Severin, B., ... & Groß, D. (2021). Automated payment and contract management in the construction industry by integrating building information modeling and blockchain-based smart contracts. Applied sciences, 11(16), 7653.
Strathausen, R., & Nikkels, I. (2020). Contract Is Code! How Smart Contracting Automates the CLM Process. Liquid Legal: Towards a Common Legal Platform, 371-391.
Sunny, M. N. M., Saki, M. B. H., Al Nahian, A., Ahmed, S. W., Shorif, M. N., Atayeva, J., & Rizvi, S. W. A. (2024). Optimizing Healthcare Outcomes through Data-Driven Predictive Modeling. Journal of Intelligent Learning Systems and Applications, 16(4), 384-402.
Ukonne, A., Folorunso, A., Babalola, O., & Nwatu, C. E. (2024). Compliance and governance issues in cloud computing and AI: USA and Africa. Global Journal of Engineering and Technology Advances
Vora, M., Sanni, S., & Flage, R. (2021). An environmental risk assessment framework for enhanced oil recovery solutions from offshore oil and gas industry. Environmental Impact Assessment Review, 88, 106512.
Wei, C., Fu, M., Wang, L., Yang, H., Tang, F., & Xiong, Y. (2022). The research development of hedonic price model-based real estate appraisal in the era of big data. Land, 11(3), 334.
Yang, J. (2024). Data-Driven Investment Strategies in International Real Estate Markets: A Predictive Analytics Approach. International Journal of Computer Science and Information Technology, 3(1), 247-258.
