<![CDATA[Corpus linguistics or forensic linguistics allows us to apply language theory to explore texts on a large scale along with the development of appropriate corpora sizes and powerful computing machines. The purpose of this study is to reveal the pattern of using the word "defendant" empirically in terms of frequency and concordance. The data source for this research was taken from a corpus of legal judicial documents obtained through the official directory website. The process of quantitative data analysis and tracking the appearance of words was carried out using digital text analysis software, namely Voyant Tools. Based on the results of the legal discourse analysis, it was found that the lexeme "defendant" is the most dominant word that appears in the case file when entered into the data file. Factual testing through Voyant Tools showed a very high frequency for the word "defendant", reaching a total of 167 occurrences, far outnumbering the appearance of other legal terms such as the word "suspect". The significant dominance of the lexeme "defendant" in the judgment document indicates a strong process of textual labeling and the potential bias of legal language that locks in identity and constructs the fault of the legal subject. This quantitative dominance indicates a strong referential labeling of the perpetrator's name throughout the text of the judicial decision document. This research demonstrates the effectiveness of utilizing digital corpus tools (Voyant Tools) to objectively and empirically evaluate the application of the presumption of innocence principle in forensic linguistics and legal discourse studies.]]>
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