📄 Abstract
The accounting profession, particularly within the specialized niche of legal accounting, is undergoing a profound transformation driven by rapid technological advancement. This research paper examines the evolution and impact of technology adoption in legal accounting firms, tracing the journey from foundational software (spreadsheets, accounting packages) to sophisticated, cloud-based platforms and, most recently, to the emergence of Artificial Intelligence (AI) and Machine Learning (ML). The study employs a comparative methodology to analyze firms based on their technological maturity: "Traditional" (low adoption), "Modernized" (integrated software/cloud), and "Innovative" (AI/ML adopters). Key comparative metrics include operational efficiency (time spent on compliance tasks), accuracy (error rates in trust accounting and ledgers), strategic value (client advisory services), and cyber security posture. Findings indicate a significant performance gap between Traditional and Modernized/Innovative firms. Innovative firms leveraging AI demonstrate superior efficiency, near-real-time financial insights, predictive capabilities, and enhanced client satisfaction. However, adoption barriers such as cost, expertise gaps, and data security concerns persist, especially for smaller firms. The research concludes that technological integration, particularly AI, is no longer a competitive advantage but a necessity for survival, compliance, and growth in the legal accounting sector. Recommendations are stratified for firms at different stages of adoption, emphasizing strategic investment, workforce up skilling, and a phased approach to implementing AI-driven tools to navigate the future landscape effectively.
🏷️ Keywords
📚 How to Cite:
Dr. Thaer Amjed Ababneh , THE USE OF TECHNOLOGY IN ACCOUNTING, FROM SOFTWARE TO ARTIFICIAL INTELLIGENCE: A COMPARATIVE STUDY OF LEGAL ACCOUNTING FIRMS , Volume 12 , Issue 9, september 2025, EPRA International Journal of Environmental Economics, Commerce and Educational Management(ECEM) ,