Gaurang Patil supervised by Prof. Krishna Reddy Polepalli received his Master of Science by Research in Computer Science Engineering (CSE). Here’s a summary of his research work on Improving Precedent Retrieval Performance in Legal Information Systems by Exploiting Citation Anchor Text
Legal Information Systems are key tools that improve access to and management of legal information. They help legal professionals, researchers, and the public find case laws, statutes, and regulations quickly and accurately. These systems save time and reduce errors, making legal decision-making more effective. They also promote transparency by making legal information available to everyone. They automate routine tasks, which reduces the workload for legal staff and boosts efficiency. Overall, Legal Information Systems are vital for making the legal process faster and more accurate. Precedent retrieval is an important challenge in Legal Information Systems. It involves finding past legal decisions that are relevant to current cases. Precedents are crucial because they help guide legal reasoning and decisions. However, finding the right precedent can be difficult because of the large volume of case law. Legal professionals must use search tools to find cases with similar facts or issues. If precedent retrieval is inaccurate, it can affect the quality of legal arguments and case outcomes. Improving this process is vital for making Legal Information Systems more effective.
Developing methods to improve the performance of precedent retrieval systems is an active area of research. In the literature, efforts are being made to exploit metadata, catchphrases, citations, sentence- and paragraph-level features, etc. Several efforts are also being made to exploit citations in legal documents. In this paper, we propose that the text surrounding the citation, which we refer to as Citation Anchor Text (CAT), can be used to meaningfully improve the document representation of the judgment the citation points to (i.e., the referenced judgment). It is reported in the literature that the text surrounding a citation not only provides information to identify the referenced judgment but also supplies additional information about the referenced judgment and its connection to the argument being formulated. Notably, in the case of the Web, anchor text associated with hyperlinks has been widely exploited to improve the performance of search engines. It has also been used to index non-textual entities like images and videos.
In this work, we have analysed the resourcefulness of text surrounding a citation in enhancing the document representation of the referenced judgment by conducting experiments with various document representation approaches. Experiments conducted on two Indian SC datasets show that CAT alone has the potential to capture information that can be leveraged to establish the relevance of the referenced judgment for a given query case. Moreover, the experiments show that certain proposed document representation approaches capture certain nuances that are not captured by the text present in the referenced judgment, indicating that there is scope to exploit text surrounding citations to improve the performance of precedent retrieval systems.
July 2026