Enhancing Contracts Data Accessibility through ContractBot

Atazulal, Cigdem (2024) Enhancing Contracts Data Accessibility through ContractBot. Masters thesis, Dublin, National College of Ireland.

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Abstract

Amid the challenges faced by modern businesses in effectively managing contract data, this study seeks to address the inefficiencies inherent in manual data retrieval processes from contracts. Manual methods of accessing contract information are error-prone and time-consuming, necessitating the development of a technology solution. ContractBot is an AI-based and automated solution that aims to mitigate human errors and enhance the efficiency of information access, thereby empowering organisations to navigate contractual intricacies with heightened confidence and accuracy. ContractBot stands as a pivotal advancement in contract data management with its AI-based, value-adding simple architecture. Leveraged by Microsoft Power Automate OCR (Optical Character Recognition) capabilities, the system accelerates the extraction of critical data from contract documents, ensuring a level of robustness that eliminates manual errors and significantly enhances the precision and reliability of extracted information. The system seamlessly aligns with contemporary technological trends, integrating RPA, AI and virtual agents into the realm of contract management. The theoretical contributions extend beyond mere automation and time savings, preserving the notion of an interactive environment as a catalyst for advanced cognitive ergonomics and robustness within document-centric processes. While ContractBot stands as a pioneering solution for the improvement of contract management processes, ongoing exploration is worthwhile to enhance its adaptability to diverse contract formats, industry-specific idiosyncrasies, and the nuanced challenges posed by legal language interpretation. The continued refinement of the system will ensure its enduring efficacy in diverse organisational contexts.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Del Rosal, Victor UNSPECIFIED
Uncontrolled Keywords:	Contract Data Management; Robotic Process Automation; Optical Character Recognition; Artificial Intelligence Models; Virtual Agents
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence > Computer vision Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence > Computer vision
Divisions:	School of Computing > Master of Science in Artificial Intelligence for Business
Depositing User:	Tamara Malone
Date Deposited:	07 Apr 2025 11:19
Last Modified:	07 Apr 2025 11:19
URI:	https://norma.ncirl.ie/id/eprint/7379

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