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As organisations across the legal and financial sectors handle growing volumes of data and tighter regulations, the need for reliable automation has become urgent.
Kehinde Akinwolere, a researcher with expertise in both corporate law and artificial intelligence, is developing systems that make compliance and document analysis more efficient and transparent.
Akinwolere, a graduate student in Information and Communication Sciences at Ball State University, is combining legal knowledge with machine learning to improve how businesses manage records and meet compliance standards. His approach focuses on ensuring that artificial intelligence tools operate within legal boundaries while reducing the time and cost of data handling.
In his recent co-authored paper, “Text Classification: How Machine Learning is Revolutionising Text Categorisation,” published in the MDPI Journal, Akinwolere explores how transformer-based models such as BERT can support automated text analysis in regulated sectors.
The study explains how AI can improve document management, compliance monitoring, and customer service processes. “By enhancing accuracy, scalability, and efficiency, this research offers practical solutions for businesses… where automated text classification can streamline operations such as document management, compliance, and customer service,” the paper notes.
Unlike many data specialists, Akinwolere’s foundation in corporate law allows him to address the ethical and regulatory challenges that often arise when organisations deploy AI systems. His work aims to “bridge the gap between technology, law, and communication,” creating systems that remain compliant and accountable in operation.
His research also considers the risks that AI introduces to corporate communication. In his paper “When Machines Write,” published in the AI Business Review, he examines bias and misinformation in AI-generated content and their implications for corporate liability.
Beyond research, Akinwolere’s practical skills have been recognised through awards and competitions. His team achieved first runner-up in the Accenture Challenge for a proposal on digital solutions for corporate operations. In 2025, he received the Ernst and Young Scholarship and was named Student Researcher of the Year, marking his growing influence in the field of legal technology.
