Skip to content
#generative ai Open access

Navigating Ethical Boundaries In The Use Of Generative AI In Legal Practice: Mavundla V MEC for Cooperative Governance and Traditional Affairs and Others

Sep 2026 · Potchefstroom Electronic Law Journal · Vol 29 · 0 citations · 13 references

TL;DR

It is highlighted that while AI can enhance efficiency and access to justice, it cannot substitute the critical reasoning, legal judgment, and ethical obligations that underpin the legal profession, and Courts and regulatory bodies must actively engage with AI’s implications to ensure its responsible and ethical use in legal practice.

Abstract

The rapid integration of generative artificial intelligence (AI) in legal practice presents significant ethical and professional challenges. This article critically examines the judgment of Mavundla v MEC: Department of Cooperative Governance and Traditional Affairs, KwaZulu-Natal, and others, in which the KwaZulu-Natal High Court addressed the misuse of generative AI in legal proceedings. The judgment raises pivotal concerns regarding the accuracy, reliability, and ethical implications of AI-generated legal research. A central issue in the case was the candidate attorney’s reliance on AI-generated citations, which the court found to be unverified and, in some instances, fictitious. This highlights issues of automation bias, legal practitioners’ duty of care, and the broader implications for professional responsibility in the digital era. The article critiques the court’s approach to AI regulation, arguing that while the judgment rightly condemns AI misuse, it fails to distinguish between different AI applications and does not offer a comprehensive framework for responsible AI adoption in legal practice. The article argues for a structured regulatory approach that includes mandatory verification protocols, judicial oversight mechanisms, and ethical guidelines to govern AI use in legal research and litigation. Ultimately, the article underscores that while AI can enhance efficiency and access to justice, it cannot substitute the critical reasoning, legal judgment, and ethical obligations that underpin the legal profession. Courts and regulatory bodies must proactively engage with AI’s implications to ensure its responsible and ethical use in legal practice.

Read PDF

Similar papers

#large language models Open access Oct 2026

Disciplined Integration: AI and the Legal Profession’s Existing Duties

Abstract This article argues that the legal profession’s existing duties of competence, supervision, candour, confidentiality, and procedural fairness provide the necessary framework for integrating generative AI into legal practice, without requiring a wholly new regulatory paradigm. Narrowing its focus to transforme...

Pouya Lajevardi · 0 citations
Open access Sep 2026

AI-Mediated Ethical Communication: Epistemic Totalization the Fabricatable Zone and the Governmental Chain of Custody as Terminus

Large language models and AI-mediated search systems have become the primary intermediaries for institutional information across educational, legal, civic, and professional life. Current models of AI ethics focus primarily on the accuracy, bias, and fairness of AI systems. This focus is essential but fails to recognize...

Jonathan D. Nelson · 0 citations
Open access 2026

Is Legal Justice at Risk in the Epoch of Artificial Intelligence? A Jurisprudential Assessment of Algorithmic Governance, Procedural Due Process, and the Safeguarding of Human Rights

A methodical investigation into the transformation of judicial frameworks enhanced by artificial intelligence (AI) raises a crucial normative inquiry: is the integrity of justice in law perpetually threatened by the use of algorithms in the judiciary? Rooted in legal principles and human rights frameworks, it seeks to...

Tiba Nazifa · 0 citations
#generative ai Review Open access Sep 2026

RECONCEPTUALIZING RESEARCH ETHICS IN THE AI ERA: A SYSTEMATIC REVIEW FRAMING GENAI AS AN EMERGING RISK

This systematic review explores qualitative research ethics by framing GenAI as a new vulnerability layered over traditional principles such as participant autonomy, non-maleficence, researcher positionality, and institutional oversight, and recommends targeted strategies tailored to each research context.

Peruce Atingo, R. Burugu · 0 citations
Review Aug 2026

The relationship between professional and general ethics in generative AI

The main dimensions of AI models'decision-making in areas of professional practice are conceptualized, emphasizing professional ethics' Hierarchically structured relationship with general ethics, and elaborating on the mechanisms through which they reach an equilibrium in situational contexts that involve conflict.

Omri Asscher, Mirco Musolesi · 1 citation

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.