Development of an AI-Powered Legal Research Automation Tool for Tax Law Analysis

The client faces significant inefficiencies and risks of human error when handling large volumes of legal documents, including court rulings related to tax law. The manual process of analyzing legal inquiries and court decisions is time-consuming and prone to inaccuracies, which hampers timely decision-making and legal accuracy. They require a solution to automate legal research, ensure proper attribution of legal sources, and adapt to ongoing legislative changes within a strict security environment.

A mid-sized law firm specializing in tax advisory, restructuring, and corporate transformations, seeking to improve efficiency and accuracy in legal research processes.

• Automate the analysis of legal inquiries and court rulings related to tax law across multiple areas such as VAT, CIT, and PIT.
• Reduce the time required for legal research and document analysis, freeing legal professionals for strategic tasks.
• Ensure accurate attribution of legal sources and compliance with data security standards.
• Provide a scalable, adaptable system capable of handling ongoing legislative modifications and increasing volumes of legal data.
• Deliver a decision-support tool that enhances speed and accuracy of legal insights without replacing legal professionals.

• Legal inquiry understanding via NLP to interpret complex legal questions.
• Automated search over a database containing over 100,000 court rulings related to VAT, CIT, and PIT.
• Comparison and relevancy ranking of court rulings to provide the most pertinent legal precedents.
• Structured output summarizing key legal details, source attribution, and compliance checks.
• User interface for legal analysts to input inquiries and review AI-generated insights.
• Regular updates and adaptation modules for legislative changes.

• Legal database systems hosting court rulings and legal precedents, to enable search and retrieval.
• Internal document management systems for accessing legal inquiries and case files.
• Security and compliance frameworks to ensure data privacy and integrity.

• High accuracy in search and relevancy ranking, with a target of reducing manual analysis time by over 50%.
• Performance capable of processing and analyzing large datasets within seconds.
• Data security compliance with industry standards, including encryption and access controls.
• System scalability to handle an increasing volume of legal data and users over time.

The implementation of the AI-powered legal research tool is expected to significantly reduce manual legal document analysis time, freeing legal teams to focus on strategic and high-value tasks. It aims to improve the accuracy and speed of legal insights, achieving a reduction in time for legal analysis and research by at least 50%, and ensuring full compliance with data security protocols. The scalable system can handle over 100,000 court rulings, facilitating continuous legislative adaptability and supporting robust legal decision-making processes.