RESEARCH PAPERS

Research on Intellectual Property Service Intelligent Agents Driven by Large Language Models

  • Lin Yuan ,
  • Xu Chenxi ,
  • Wang Qiyao ,
  • Liu Huaren
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  • 1 School of Public Administration and Policy, Dalian University of Technology, Dalian 116024;
    2 School of Future and Technology, Dalian University of Technology, Dalian 116024
Lin Yuan, Associate Professor, PhD, E-mail: zhlin@dlut.edu.cn; Xu Chenxi, Master's Candidate; Wang Qiyao, Bachelor's Candidate; Liu Huaren, Bachelor's Candidate.

Received date: 2025-05-16

  Revised date: 2025-08-29

  Online published: 2026-07-13

Supported by

This work is supported by the National Intellectual Property Strategy Implementation Research Base under the special project titled “Study on the Impact of Large Language Model Technology on the Openness and Utilization of Intellectual Property Data: A Case Study of Patents” (Grant No. ZX250602).

Abstract

[Purpose/Significance] Create a data-driven intelligent agent for intellectual property services, using intelligent technologies to integrate intellectual property service functions, improving the efficiency of intellectual property services, and promoting the intelligent and collaborative development of the intellectual property service system. [Method/Process] Constructing a supervised fine-tuning dataset for the intellectual property field, and on this basis, developing functional datasets for patent agency, patent examination, and patent lawyers, this study integrates large language models and intelligent agent technologies to design and implement an intellectual property service intelligent agent that integrates technology, government affairs, and legal services. [Result/Conclusion] The results demonstrate that the data-driven AI-powered intelligent patent agency agent, AI-powered intelligent patent examination agent, and AI-powered intelligent patent lawyer agent have demonstrated significant advantages in multiple practical application scenarios. They enhance the efficiency of patent agency and examination processes, strengthen the timeliness and accuracy of intellectual property legal services, and provide innovative solutions for building an intelligent service system in the intellectual property domain.

Cite this article

Lin Yuan , Xu Chenxi , Wang Qiyao , Liu Huaren . Research on Intellectual Property Service Intelligent Agents Driven by Large Language Models[J]. Library and Information Service, 2026 , 70(14) : 75 -88 . DOI: 10.13266/j.issn.0252-3116.2026.14.006

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