AI-Assisted Legal Research in Government Legal Departments
Keywords:
AI legal research, government lawyers, legal technology, public sector, professional practiceAbstract
Background: Policy attention to AI legal research has increased, yet there is limited empirical clarity on how institutional arrangements influence government lawyers and implementation quality.
Objective: The study evaluated institutional variation in approaches to AI legal research, with particular attention to accountability, administrative capacity, and government lawyers.
Methods: Survey data were collected from 734 relevant officials, professionals, service users, or regulated actors using measures of implementation quality, capacity, procedural clarity, transparency, and perceived effectiveness. Descriptive and adjusted regression analyses identified correlates of stronger implementation.
Results: Analysis of 721 complete questionnaires on AI legal research showed that 59% of respondents experienced consistent implementation, while 11% encountered substantial procedural or capacity constraints. Adjusted models linked better implementation to role clarity, staff capability, and availability of formal guidance.
Conclusion: For AI legal research, the main practical lesson is that formal requirements do not by themselves produce consistent implementation. This means that justice-sector innovation should be matched by explicit safeguards and practical routes for human review.
Study design: professional survey study.
Publication history: Originally published in print on 15 June 2023, Volume 3, Article 9. Online abstract record added on 16 September 2026. Full-text PDF will be added when the digital galley is ready.
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Copyright (c) 2023 Timnah Baker, Pablo José Ruiz-Tagle Vial

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