Volume – 05, Issue – 01, Page : 01-14

ChatGPT in Law, Judiciary, and Legal Practice: Adjudicative Integrity in the Age of LLMs

Author/s

1. Jaakko Kalverkämper

2. Rosa Baiona

Digital Object Identifier (DOI)

10.56106/ssc.2025.006

Date of Publication

28th November 2025

Abstract :
This paper synthesizes the rapidly expanding legal discourse on ChatGPT class systems into an integrated practice architecture that aligns legal doctrine, procedural safeguards, and systems engineering. Employing a realist synthesis, the study consolidates obligations arising from the European Union risk-based regulatory framework, data protection and residency requirements, professional responsibility norms, and evidentiary standards, and translates them into jurisdiction portable, verifiable controls. The analysis operationalizes retrieval first drafting with source pinning, authority validation, and quotation exactitude checks, alongside prompt minimization, sensitive data redaction, regional isolation, and rigorous cryptographic key custody. It further specifies immutable logging with hold aware retention, gated human oversight, and disclosure etiquette calibrated to tribunal directives. Privilege preservation is engineered through ring fenced inference environments and explicit no training covenants, while e discovery readiness is ensured by mandating the inclusion of prompts, outputs, embeddings, and model version descriptors within legal holds supported by reproducible chains of custody. Judicial self-use is bounded by internal policies requiring independent verification and memorialized transparency, and consumer protection is embedded through intelligible scope notices, escalation to licensed counsel, and documented complaint resolution. The paper introduces a control grammar that maps each safeguard to a duty vector, actor locus, mechanism class, and proof pathway, together with a maturity gradient that stages adoption from ad hoc experimentation to assured operation. The result is a computable governance fabric for firms, courts, regulators, and legal educators that replaces aspirational rhetoric with audit ready evidence, enabling lawful, ethical, and procedurally sound deployment of generative systems in legal practice.

Keywords :
Generative AI, Large Language Models, Legal Ethics, Attorney-Client Privilege, Judicial Decision-Making, EU AI Act, Data Protection, Information Governance, Legal Compliance, Legal Education.

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