Cultivate original innovation of key technologies rooted in the context of Chinese Internet judiciary

Institute for Internet Judiciary, Tsinghua University (THUIJ)

Foster interdisciplinary and compound talents with outstanding scientific and technological capabilities

Institute for Internet Judiciary, Tsinghua University (THUIJ)

Create new paradigms of Chinese Internet judiciary suitable for the construction of law-based modernization empowered by science and technology

Institute for Internet Judiciary, Tsinghua University (THUIJ)

Introduction of the Institute for Internet Judiciary, Tsinghua University

The Institute for Internet Judiciary, Tsinghua University is an independent research institute (at university-level) directly supported by the Supreme People's Court of China. It is hosted by the Department of Computer Science and Technology, and co-hosted by the Law School and Institute for Network Sciences and Cyberspace in Tsinghua University.

The Institute for Internet Judiciary, Tsinghua University is devoted to original research and innovation in Internet technology grounded in the context of Chinese judicial system. We aim to cultivate cross-disciplinary scientific and technological talents, and create new paradigms and infrastructures for the modernization of Chinese judicial system in the Internet era.

The institute is built to be a representative of cutting-edge research organizations for Internet judicial science and technology in China, leading the interdisciplinary studies of Judicial Science and Internet Technology. We are determined to incubate new paradigms for Internet Judicial Systems and promote the modernization of national government systems with information technology to guarantee the justice of law.

Tsinghua Internet Judicial Forum
As an important platform for the Institute for Internet Judiciary (IIJ), Tsinghua University to promote cross-disciplinary integration and cross-border cooperation and exchanges, the "Tsinghua Internet Judiciary Forum" invites relevant authorities of the central government, domestic and international experts and scholars, and representatives from Internet companies and industry to conduct a series of discussions and workshops on the theoretical and practical challenges of Internet-judicial research and applications. Insights from these discussions will provide important supports for the national cyber development strategy of China.
CAIL
The purpose of the research on legal intelligence is to enable the machines to understand legal texts. In recent years, with the continuous disclosure of judicial big data represented by judgment documents and the continuous breakthrough of natural language processing technology, how to apply AI technologies into the field of judiciary to assist judicial workers to improve the efficiency and fairness of case processing has gradually become a hot issue in the research on legal intelligence. With the aim of providing an interdisciplinary research platform for researchers, CAIL helps promote the application of AI technologies, such as natural langauge processing and intelligent information retrieval, in the field of law, It foster the innovation and development of legal intelligence technoglogy in China, and provide important support to the governance of science and technology-empowered society.
The China AI and Law Challenge 2022 (CAIL 2022) competition covers the following 8 tasks: judicial examination, event detection, document proofreading, class case retrieval, judicial summarization, debate comprehension, information extraction, and interpretable class case matching. At the same time, we also provide a large amount of data on judicial documents as the dataset. An award ceremony and a workshop on legal intelligence technology will be held as part of the CAIL 2022 competition in Beijing in January 2023. We sincerely invite researchers from academia and developers from industry to participate in and support this event!
Research
  • [Open-source dataset] Dataset of judicial class case retrieval in China
  • [Open-source dataset] Evaluation benchmark for the judgment prediction system
  • [Open-source model] Pre-training language model for legal instruments
  • Jia Chen, Yiqun Liu, et al.Axiomatically Regularized Pre-training for Ad hoc Search.SIGIR 2022.
  • Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, et al.Lawformer: A pre-trained language model for Chinese legal long documents. AI Open（2021）.
  • Yifan Wang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma. A Survey on Dropout Methods and Experimental Verification in Recommendation. TOIS.
  • Ziyi Ye, Xiaohui Xie, Yiqun Liu, et al. Brain Topography Adaptive Satisfaction Modeling for Interactive Information Access. MM 2022.
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