Author Information
Md. Omar Faruque Munshi, Uttara University, BangladeshKalyan Chakroborty, Uttara University, Bangladesh
Abstract
The rapid advancement of artificial intelligence (2020-2025) has impacted the legal field in multifaceted aspects, creating urgent need for comprehensive legal education reform. This research examines the critical gap between traditional legal curricula and competencies required for AI-enhanced legal practice across diverse areas. This study employs systematic documentary analysis, examining institutional reports, policy documents, curriculum guidelines, and scholarly literature from legal education institutions worldwide. The analysis encompasses four categories: (1) strategic plans from major law schools globally; (2) professional development frameworks by legal associations; (3) recent legislative reforms regulating AI and evidential assessment patterns; and (4) empirical studies documenting AI integration in legal practice. Documents undergo thematic content analysis to identify AI legal impact patterns and skill gaps. The study maps essential AI competencies across legal specializations, analyzes pedagogical gaps, and develops guidance for comprehensive curriculum frameworks regarding different legal specializations. Particular attention also be provided to competency development for AI-assisted crime detection, forensic analysis, digital evidence authentication, and algorithmic bias evaluation under well-known judicially established Daubert standards in an old case. Related to the stated curriculum development objective, this research further aims to focus on scope of formulating core legal principles guiding judicial decision-making in AI-related cases, ensuring consistent jurisprudential approaches transcending technological change.
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