Tech-empowered equity: advancing linguistic justice through digital scholarship.

This article proposes integrating digital humanities (DH) methodologies—such as corpus linguistics, natural language processing (NLP), and machine learning (ML)—into court interpreting practices to advance linguistic equity and uphold linguistic human rights (LHR) in Australian legal settings. Focusing on interpreter-mediated communication for migrants, the study employs a mixed-methods approach combining quantitative accuracy assessments and qualitative discourse analysis to evaluate how interpreting modes and environments affect the accurate translation of discourse and style features in lawyer questioning. The proposal outlines three interdisciplinary research directions: corpus-based analysis of courtroom interpreting, ML-driven personalized feedback systems for interpreters, and empirical evaluation of linguistic rights and language equity in legal contexts. Emphasizing interdisciplinary collaboration among DH scholars, linguists, and legal experts, the work advocates for ethical, data-driven digital tools and specialized training programs to enhance interpreter performance, reduce language barriers, and promote procedural justice for non-native speakers in courtrooms.