KT Introduces AI to Legal System... Reduces Work Time by Up to 50%
Utilizing Data from 100,000 Cases for AI Training
Minimizing Errors, Early Identification of Legal Risks... Accelerating AICT
KT announced on May 21 that it is fully introducing artificial intelligence (AI) technology into its legal system, aiming to enhance the sophistication of its legal operations, reduce processing time, and strengthen compliance management.
As part of its AICT (Artificial Intelligence and Information Communication Technology) acceleration strategy, KT has incorporated AI into its litigation and legal advisory operations. For the development of this system, KT utilized approximately 100,000 cases of business-related litigation, contracts, and advisory data for AI training.
In particular, the litigation system has been designed to create a database of complaints, preparatory briefs, and judgments, enabling integrated searches and analysis by category. With the automatic integration of the Supreme Court case search function, litigation record information and the hearing calendar are automatically synchronized, allowing for batch management of cases by instance or related matters.
In the area of legal advisory, the system provides AI-based draft advisory documents, automatic recommendations of similar cases, contract comparison, and content summarization features. These capabilities enable pre-classification and analysis of legal documents, minimizing human error and allowing for early identification of legal risks.
A KT representative explained, "With AI handling legal research and the search for precedents, legal personnel are now able to focus their capabilities on strategy development and decision-making." In practice, following the introduction of the system, the time required for litigation case management has been reduced by more than 50%, and the time required for legal advisory tasks has been shortened by more than 30%, respectively.
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KT plans to add a "pre-contract checklist" feature in the future. This function will automatically detect toxic clauses, legally ambiguous language, and unnecessary provisions in contracts, notify the responsible personnel, and suggest alternative solutions.
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