Summary
Nippon Life v OpenAI raises one of the most important emerging questions in modern legal systems: where does legal assistance end and legally accountable representation begin in the age of artificial intelligence?
This article examines the ongoing American litigation against OpenAI through a distinctly South African lens, arguing that the real issue is not whether AI can “play lawyer,” but how legal systems should respond to AI-assisted legal work that increasingly exists outside traditional structures of professional accountability.
Drawing on South African case law, legal ethics, AI governance frameworks, and access-to-justice realities, the article explores the distinction between legal information and legal representation, the longstanding tolerance of quasi-legal assistance outside the regulated profession, the growing accountability gap surrounding AI-generated legal content, and the potential role of AI in expanding access to justice in deeply unequal societies.
Ultimately, the article argues that the future challenge is not whether AI should exist within litigation. It already does. The challenge is how courts, regulators, and practitioners can integrate AI-assisted legal work without eroding professional accountability, procedural integrity, or public trust.
1. Introduction
Nippon Life Insurance Company of America v OpenAI Foundation et al, Case No. 1:26-cv-02448, was filed in the United States District Court for the Northern District of Illinois on 4 March 2026 and remains pending at the time of writing before Judge John F. Kness. [1]
The matter has attracted international attention as one of the first major civil actions attempting to connect AI-assisted legal drafting to downstream litigation harm suffered by a third party. [5][6] The proceedings arise from a disability dispute previously settled with prejudice between Nippon Life Insurance Company of America (“Nippon”) and a former claimant, Graciela Dela Torre. According to the complaint, Dela Torre later became dissatisfied with legal advice received during the settlement process and uploaded correspondence with her attorney to ChatGPT for further guidance.
The complaint alleges that ChatGPT validated Dela Torre’s distrust of her attorney, after which she dismissed her legal representatives and proceeded to launch extensive pro se litigation in an attempt to reopen the settled proceedings. [1][5][6] Nippon alleges that these filings included numerous motions, notices, and other litigation steps which served no legitimate legal purpose and caused the insurer substantial legal expense.
Notably, the litigation was not initiated by the former claimant against OpenAI. The plaintiff is Nippon itself, which alleges that OpenAI’s systems contributed to significant financial harm through allegedly meritless post-settlement litigation conduct. The complaint advances claims for tortious interference with contract, abuse of process, and unauthorised practice of law, positioning the case at the intersection of artificial intelligence, professional regulation, litigation ethics, and access to justice.
At first glance, the matter appears to raise a straightforward question: did an AI system cross the line from providing legal information into impermissibly practising law? Yet the deeper difficulty may lie elsewhere. Nippon Life v OpenAI ultimately exposes a far more complicated boundary problem, one that legal systems globally, including South Africa’s, are increasingly being forced to confront: where does legal assistance end, and legally accountable representation begin, in an era where AI systems are capable of generating sophisticated legal-style analysis, drafting, and procedural guidance at unprecedented scale?
2. The Core Legal Question
Public discussion surrounding Nippon Life v OpenAI has frequently framed the matter as a simple question of whether artificial intelligence can “practise law.” Yet the litigation itself raises a more complicated and arguably more important issue. The real difficulty may not lie in determining whether ChatGPT functioned as an attorney in any formal sense, but rather in identifying where the boundary lies between legal assistance and legally accountable representation. [5][6][7]
That distinction matters. Modern legal systems have long tolerated forms of quasi-legal assistance which fall short of formal legal practice. Individuals routinely rely on legal templates, labour consultants, union representatives, community advice offices, compliance consultants, online legal resources, and legally experienced non-practitioners when navigating disputes. [10][11][12] In many jurisdictions, including South Africa, courts regularly encounter self-represented litigants whose pleadings have plainly been influenced, whether competently or disastrously, by informal legal guidance outside the regulated legal profession.
Artificial intelligence complicates this landscape, not because it introduces the concept of non-professional legal assistance, but because it scales and sophisticates it. [5][6][7] A conversational AI system can generate litigation-style drafting, analyse procedural steps, summarise legal principles, and produce apparently authoritative responses at a speed and accessibility previously unavailable to ordinary litigants. The resulting interaction may begin to resemble something more participatory than mere information retrieval, particularly where users rely on AI systems to evaluate legal advice, structure pleadings, or formulate litigation strategy.
This creates what may best be described as a form of “shadow counsel” – a system capable of functionally influencing litigation conduct without formally occupying the role of a legal practitioner. [5][6][7]
Unlike an admitted attorney or advocate, however, an AI system carries no fiduciary obligations, no professional duties to the court, no confidentiality obligations enforceable through professional discipline, no fidelity fund protection, and no independent legal accountability. The issue is therefore not merely whether AI systems generate legal-style content, but whether legal systems are adequately equipped to distinguish between informational assistance and conduct which begins approximating legally consequential representation.
The distinction becomes particularly significant in the context of the Nippon litigation itself. The complaint does not allege that OpenAI appeared before court, signed pleadings, or formally represented the claimant. Rather, the allegations concern the extent to which AI-generated responses allegedly influenced litigation behaviour, encouraged distrust of legal counsel, and assisted a self-represented litigant in pursuing procedurally abusive or meritless filings. [1][5][6]
From a South African perspective, this broader boundary question intersects with at least four increasingly important concerns: first, the distinction between legal information and legal representation; second, the legal system’s longstanding tolerance of quasi-legal assistance outside the formal profession; third, the problem of accountability where AI-generated legal content contributes to litigation harm; and finally, the implications of AI-assisted legal support for access to justice in a deeply unequal society. Together, these issues suggest that Nippon Life v OpenAI may ultimately prove significant not because it answers the question of whether AI can “play lawyer,” but because it exposes how uncertain the line between legal assistance and legal practice has already become.
3. Legal Information vs Legal Representation
At the centre of Nippon Life v OpenAI lies a deceptively difficult question: when does legal assistance become legal practice?
The complaint alleges that OpenAI, through ChatGPT, effectively functioned as an unlicensed legal advisor by encouraging a former disability claimant to distrust her attorney, challenge a settlement agreement, and pursue extensive post-settlement litigation. [1][5][6][7] Framed this way, the matter appears to raise a relatively straightforward unauthorised practice of law (“UPL”) dispute. Yet the practical reality of modern legal systems is considerably more complicated.
Legal systems have never operated in an environment where only admitted legal practitioners influence litigation conduct. [10][11] Individuals routinely rely on labour consultants, compliance advisers, legally experienced non-practitioners, union representatives, online legal templates, community advice offices, and informal legal guidance when navigating disputes. In many cases, these actors assist with drafting, procedural navigation, strategy discussions, or dispute management without formally representing themselves as attorneys or advocates.
The distinction matters because formal legal practice is not defined solely by the ability to generate legal-style content. Professional legal representation carries institutional obligations extending far beyond technical drafting capability. Under South Africa’s Legal Practice Act 28 of 2014, regulation of the legal profession exists not merely to protect professional status, but to protect the public interest, uphold ethical standards, preserve accountability, and ensure the integrity of the administration of justice. [12] Legal practitioners owe duties not only to clients, but also to courts, opposing parties, and the legal system itself. Those obligations include duties of honesty, confidentiality, competence, procedural fairness, and professional accountability.
Artificial intelligence systems occupy an uncertain position within this framework. ChatGPT does not appear before court, enrol as a legal practitioner, sign pleadings in its own name, or assume fiduciary obligations toward users. It responds to prompts. Yet the practical influence of those responses may nevertheless become legally significant where litigants rely upon AI-generated guidance to formulate litigation strategy, assess legal advice, or prepare court documents. [5][6][7]
Importantly, however, the existence of harmful or incompetent legal assistance is not unique to artificial intelligence. [10][11] The legal system has long encountered situations where individuals rely upon legally questionable guidance outside the regulated profession, often with serious consequences. In one recent South African matter known to the author, an individual describing himself as a “legal expert”, relying largely on failed articles of clerkship completed decades earlier, was granted a power of attorney to manage litigation on behalf of another person. The resulting conduct reportedly caused substantial procedural and strategic damage to the underlying matter. Complaints were referred to the Legal Practice Council, yet the individual had neither formally represented himself as an admitted legal practitioner nor charged fees for his assistance. The conduct, while arguably misleading and deeply problematic, occupied a legally ambiguous space.
That ambiguity is significant. The issue is not whether poor legal assistance exists outside the regulated profession. It plainly does. Nor is AI unique in creating risks associated with overconfidence, misinformation, or procedurally disastrous guidance. Rather, Nippon Life v OpenAI exposes the difficulty of determining when informational or quasi-legal assistance begins to approximate legally consequential representation.
This distinction becomes even more difficult where AI systems are capable of generating highly sophisticated legal-style output, which may appear authoritative to non-lawyers. Yet sophistication alone cannot be the sole test for legal practice. [5][6][7][12] If it were, legal textbooks, precedent databases, template libraries, labour consultants, and community legal guidance structures would all risk collapsing into the category of unauthorised practise.
The more difficult question is therefore not whether AI can imitate legal reasoning, but whether reliance on AI-generated assistance meaningfully alters existing principles of accountability. [5][6][7][10][12] That issue becomes particularly important where AI-generated guidance influences litigation conduct without creating a corresponding framework of professional responsibility, fiduciary obligation, or regulatory oversight.
4. The Accountability Problem
The central difficulty presented by AI-assisted legal work is not merely whether artificial intelligence can generate convincing legal material. It is that AI itself does not hold professional obligations. Humans do.
This distinction is critical. Courts do not discipline software for misleading filings, fictitious authorities, procedural abuse, or dishonest representations. Responsibility remains attached to litigants, attorneys, advocates, and those who place material before the court. Artificial intelligence systems may influence litigation conduct, but they do not independently bear fiduciary duties, ethical obligations, or procedural accountability.
This becomes particularly significant in the context of so-called “hallucinated” authorities, i.e. fictitious cases, quotations, or legal propositions generated by AI systems and mistakenly presented as genuine legal sources. [2][3][4][8][9] Much of the public discourse surrounding AI in litigation has treated hallucinations as though they represent an entirely novel jurisprudential crisis. In reality, however, the underlying legal principles are longstanding and well established. Legal practitioners have always borne a professional obligation to verify authorities, accurately represent legal sources, and refrain from misleading courts.
From a South African perspective, recent judicial responses to AI-generated fictitious citations illustrate this distinction clearly. Courts have increasingly adopted a zero-tolerance approach not toward artificial intelligence itself, but toward failures of professional diligence associated with its misuse. [3][4][8][10] In Mavundla v MEC: Department of Co-Operative Government and Traditional Affairs KwaZulu-Natal and Others, the KwaZulu-Natal High Court confronted a situation in which the majority of authorities cited before court proved entirely fictitious. The judgment emphasised that practitioners remain under a professional duty to verify legal authorities before placing them before court, regardless of whether errors originated through AI-assisted research or otherwise. [3][8]
Similarly, in Northbound Processing (Pty) Ltd v The South African Diamond and Precious Metals Regulator, the Gauteng High Court again dealt with fictitious authorities generated through AI-assisted legal research. Despite candid admissions, apologies, and explanations relating to time pressure and reliance on an AI platform trained on South African legal materials, the court nevertheless referred the matter to the Legal Practice Council for investigation. The judgment stressed that neither urgency, good faith, nor technological novelty excuses a failure to verify authorities independently before placing them before court. [4][8]
It should be noted that these cases do not suggest judicial hostility toward artificial intelligence as such. On the contrary, the broader judicial and professional response increasingly recognises that AI tools may offer significant efficiencies in legal research, drafting, and procedural assistance. What courts have rejected is the abandonment of professional responsibility under cover of technological convenience. [3][4][8][10]
That distinction is fundamental. The issue is not the use of AI as a drafting aid. The issue arises when AI output is treated as a substitute for professional verification, procedural competence, and legal accountability.
In this respect, artificial intelligence alters the scale and speed at which errors may proliferate, but not the underlying ethical obligations themselves. A practitioner relying blindly on AI-generated citations without verification is not fundamentally different from a practitioner relying on an unreliable precedent summary, inaccurate template, poorly supervised junior, or legally incompetent adviser. The professional failure lies not in consulting assistance tools, but in abandoning independent judgment and verification duties.
The same principle has emerged internationally. In the well-known American matter of Mata v Avianca, Inc., attorneys were sanctioned after filing court papers containing fictitious authorities generated by ChatGPT. [2] Courts in multiple jurisdictions have since increasingly reinforced the principle that AI-assisted drafting does not dilute duties of honesty, competence, or candour to the court. [2][3][4][8][10] The ultimate responsibility for legal filings remains with the human actor who signs and submits them.
This principle applies equally to self-represented litigants. While courts may sometimes afford procedural latitude to unrepresented individuals, the administration of justice cannot function on the basis that factual or legal assertions become exempt from scrutiny merely because they originated from an AI system. As several courts internationally have increasingly recognised, AI-generated content may appear highly persuasive while remaining fundamentally inaccurate. The resulting danger is not machine autonomy, but human overreliance. [18][20][21]
The accountability problem, therefore, sits at the heart of the broader debate surrounding AI-assisted litigation. AI systems can generate sophisticated legal-style output while remaining entirely outside traditional frameworks of professional regulation. They owe no enforceable duties to courts or users. They carry no fidelity fund protection. They cannot be struck from the roll, sanctioned for misconduct, or held to ethical standards in the same manner as regulated practitioners. Yet their outputs may nevertheless shape litigation behaviour in significant ways.
This creates a growing tension within legal systems globally, including South Africa’s. Artificial intelligence is increasingly capable of performing tasks historically associated with legal work, including drafting, summarisation, procedural guidance, and legal-style analysis, without carrying the institutional obligations traditionally attached to those functions. The challenge for courts and regulators is therefore not simply determining whether AI-generated assistance should be permitted, but rather how accountability structures should operate where technologically mediated legal assistance becomes increasingly influential in the conduct of litigation.
Far from eliminating human responsibility, the rise of AI-assisted litigation may ultimately make professional diligence, verification, and ethical accountability more important than ever.
5. Existing Tolerance for Quasi-Legal Assistance
One of the most revealing aspects of the debate surrounding AI-assisted legal work is how often it assumes that legal systems previously operated within a tightly controlled environment in which only admitted legal practitioners meaningfully influenced litigation conduct. [10][11][12] In practice, this has never been true.
Modern legal systems have long tolerated a broad spectrum of quasi-legal assistance existing outside the formally regulated legal profession. Labour consultants assist employees in disciplinary and dismissal disputes. [10][11][12] Union representatives routinely help members navigate hearings, bargaining structures, and labour litigation. Community advice offices assist vulnerable individuals with procedural guidance and legal documentation. Online template services provide litigation forms, affidavits, contracts, and procedural guides. Legally experienced non-practitioners frequently assist friends, family members, or members of the public in navigating disputes, often with significant practical influence over litigation strategy and conduct.
In many cases, this assistance exists within legally ambiguous but tolerated spaces. Individuals may influence litigation profoundly without formally holding themselves out as admitted legal practitioners. The resulting quality of assistance varies enormously, ranging from genuinely valuable support to catastrophically poor guidance capable of causing substantial legal harm.
This reality becomes particularly important when evaluating claims that artificial intelligence presents an entirely unprecedented threat to legal systems. Poor legal assistance, overconfidence, procedural incompetence, and legally disastrous guidance did not originate with AI. [10][11] They predate generative artificial intelligence by decades.
In one South African matter known to the author, an individual presenting himself as a “legal expert” – despite never qualifying as an admitted legal practitioner – became deeply involved in managing litigation under a power of attorney granted by another party. The individual reportedly relied upon legal experience connected to failed articles of clerkship completed decades earlier. Although the conduct allegedly caused severe strategic and procedural damage to the underlying matter, the situation occupied an uncertain legal space. The individual neither formally represented himself as an attorney nor charged professional fees for the assistance provided. Complaints to professional regulatory bodies, therefore, encountered significant jurisdictional difficulty.
The significance of this example lies not in its unusualness, but in its familiarity. Legal systems routinely encounter situations where influential legal guidance exists outside formal structures of professional accountability. [10][11][12] AI-assisted legal guidance differs not because it introduces the phenomenon of quasi-legal assistance, but because it dramatically alters its scale, accessibility, speed, and apparent sophistication. [5][6][7]
This distinction matters. Much of the alarm surrounding AI in legal contexts appears to stem not merely from concerns about accuracy, but from discomfort with the erosion of traditional gatekeeping structures surrounding legal knowledge. [5][6][7][11] Historically, sophisticated legal analysis and procedural guidance were often accessible only through trained professionals or expensive legal services. Generative AI systems disrupt that dynamic by making forms of legal-style assistance available to ordinary individuals at unprecedented scale and cost.
That disruption carries genuine risks. AI systems may generate inaccurate legal propositions, fabricate authorities, oversimplify procedural requirements, or present highly confident but fundamentally flawed analyses. [2][3][4][8][9][18][20][21] Yet similar risks have long existed in other forms of informal or quasi-legal assistance. The legal system has historically addressed those risks not by prohibiting all non-professional legal influence, but by maintaining clear distinctions between informal assistance and formally accountable legal representation. [10][11][12]
This is where the distinction between legal information and legal representation becomes crucial. A legal practitioner is not merely someone capable of generating legal-style content. Professional status carries enforceable duties of competence, confidentiality, honesty, loyalty, independence, and accountability to both client and court. [12] The existence of these duties, rather than superior drafting ability alone, forms the true foundation of professional legal regulation.
Seen in this light, Nippon Life v OpenAI may ultimately reveal less about whether AI can “play lawyer” than about how legal systems choose to regulate influence over legal decision-making itself. Artificial intelligence has not created the existence of quasi-legal assistance. It has merely exposed how deeply embedded, widespread, and historically tolerated that phenomenon already was. [5][6][7][10][11]
6. Access to Justice and the South African Context
Any meaningful discussion concerning artificial intelligence and legal services in South Africa must ultimately confront a broader and more uncomfortable reality: for large portions of the population, meaningful access to legal assistance has never existed in practice.
Debates surrounding AI-assisted legal guidance often proceed from an implicit assumption that ordinary litigants currently enjoy realistic access to affordable legal representation and that artificial intelligence therefore threatens an otherwise functional system of legal support. In the South African context, that assumption is difficult to sustain.
South Africa’s constitutional framework strongly protects the principle of access to justice. Section 34 of the Constitution guarantees the right to have disputes resolved by courts or independent tribunals in a fair public hearing. [16] Yet the practical reality confronting many litigants remains shaped by profound structural inequality, poverty, geographic exclusion, language barriers, digital inequality, and the prohibitive cost of legal representation. As commentators have increasingly observed, formal legal rights are of limited value where individuals lack the practical ability to understand, navigate, or enforce them. [11][20][21]
This broader justice gap forms the backdrop against which AI-assisted legal tools must be evaluated. For many users, artificial intelligence does not operate as a substitute for existing legal representation. It functions instead as a substitute for no assistance at all. [11][20][21][22]
In this respect, AI systems may offer potentially significant access-to-justice benefits. Conversational AI tools are increasingly capable of assisting users to structure documents, summarise legal principles, explain procedural requirements, complete forms, navigate administrative processes, translate information, and identify possible legal remedies. [20][21][22] For self-represented litigants, these functions may substantially reduce procedural confusion and informational barriers which would otherwise prevent engagement with the legal system altogether.
This potential aligns closely with South Africa’s emerging policy approach toward artificial intelligence. The Draft South African National Artificial Intelligence Policy repeatedly frames AI development within the language of inclusion, accessibility, equity, and socio-economic transformation. The policy explicitly recognises the risk that technological inequality may deepen existing social exclusion if access to AI systems remains concentrated among already advantaged groups. Simultaneously, however, the policy positions AI as a potential mechanism for reducing barriers to education, public services, language accessibility, and legal participation. [15]
This emphasis on inclusion reflects a distinctly South African concern. Unlike many international discussions dominated by fears of professional displacement or market disruption, South Africa’s constitutional and developmental context places greater emphasis on whether technology may assist in addressing entrenched inequality and institutional inaccessibility.
Emerging judicial and policy discussions across Africa increasingly reflect this perspective. Deputy Chief Justice Dunstan Mlambo has noted that carefully designed AI systems may assist African judiciaries in reducing case backlogs, improving procedural efficiency, overcoming language barriers, and expanding access to justice for ordinary citizens. At the same time, he cautions that these technologies must remain human-centred, transparent, and subject to meaningful oversight in order to avoid reproducing existing inequalities through algorithmic exclusion or opaque decision-making. [17][18]
The same tension appears throughout international access-to-justice discussions. Organisations such as the OECD, the American Bar Association, and the Hague Institute for Innovation of Law have increasingly identified AI-assisted legal systems as potentially valuable tools for narrowing justice gaps, particularly in contexts where traditional legal services remain inaccessible to large portions of the population. These discussions generally do not advocate replacing judges or legal practitioners with machines. Rather, they emphasise AI’s capacity to improve legal literacy, procedural navigation, dispute triage, and administrative efficiency while preserving human oversight and accountability. [20][21][22]
This distinction is critical. The strongest arguments in favour of AI-assisted legal tools do not depend upon claims that machines produce superior justice. They depend instead upon recognition that inaccessible justice may itself constitute a form of systemic exclusion. [11][20][21] In South Africa in particular, the reality of self-representation cannot be ignored. Courts routinely encounter litigants attempting to navigate highly technical procedures without legal training, often relying upon fragmented internet searches, informal community guidance, copied precedents, or incomplete template materials. [11][20][21][22] In forums such as the CCMA, maintenance courts, and labour litigation, self-represented litigants routinely attempt to navigate procedurally complex disputes without legal assistance. AI systems may significantly improve the quality and accessibility of procedural guidance available to such individuals, even where those systems remain imperfect.
None of this eliminates the serious risks associated with AI-assisted legal support. Artificial intelligence systems may generate inaccurate legal information, hallucinated authorities, procedurally defective guidance, or biased outputs reflecting deficiencies in training data. Overreliance on automated systems may also create new forms of exclusion where digital literacy, internet access, or language localisation remain uneven. [3][4][8][9][18][20][21] As Justice Mlambo and others have correctly emphasised, judicial independence, procedural fairness, transparency, and meaningful human oversight remain essential safeguards.
Yet these risks must be evaluated against existing realities rather than idealised assumptions about current access to justice. [11][20][21][22] The relevant comparison is often not between AI assistance and comprehensive professional legal representation. It is between AI assistance and no meaningful assistance whatsoever.
Viewed through this lens, Nippon Life v OpenAI becomes more than a dispute about unauthorised legal practice. It becomes part of a larger global question confronting legal systems increasingly shaped by inequality, procedural complexity, and technological change: whether artificial intelligence may ultimately widen exclusion or instead become one of the tools capable of making legal systems more practically accessible to those historically excluded from them.
7. Integration, Not Alienation
If Nippon Life v OpenAI demonstrates anything clearly, it is that artificial intelligence is no longer external to the legal system. AI-assisted legal work already exists within litigation practise, judicial administration, legal research, procedural navigation, compliance structures, and self-represented dispute resolution. The question is therefore no longer whether AI should participate in legal processes at all. It already does.
The more difficult challenge is determining how legal systems can integrate AI-assisted legal work without eroding professional accountability, procedural integrity, public trust, or constitutional rights.
In this respect, attempts to respond to AI primarily through stigma, prohibition, or institutional hostility are unlikely to succeed. Courts and regulators cannot realistically operate on the assumption that meaningful reliance upon AI tools will simply disappear. Nor would such an approach necessarily serve the broader interests of justice. Artificial intelligence is increasingly embedded within the ordinary mechanics of legal and administrative life, including research, drafting, translation, disclosure management, procedural guidance, and judicial administration itself. [18][20][21][22]
The more constructive approach may therefore lie not in alienation, but in governance.
That governance challenge is already beginning to emerge within South Africa and across the African continent. South Africa’s Draft National Artificial Intelligence Policy Framework repeatedly emphasises ethical governance, constitutional alignment, transparency, accountability, inclusion, and human-centred deployment. Rather than treating artificial intelligence as inherently incompatible with legal systems, the policy framework largely proceeds from the assumption that AI integration is inevitable and must therefore be guided through regulatory safeguards and institutional oversight. [15]
Similarly, broader African digital-rights discussions increasingly reflect a concern not simply with technological innovation itself, but with ensuring that emerging systems remain accountable, inclusive, and rights-centred. At the 2026 Digital Rights and Inclusion Forum (DRIF26) in Abidjan, the Centre for Human Rights at the University of Pretoria participated in discussions concerning access to information, digital resilience, accountability gaps in generative AI systems, and the importance of human-rights-centred governance structures for emerging technologies across Africa. These discussions reflect a growing continental recognition that AI governance cannot be separated from broader concerns involving democratic participation, transparency, equality, and institutional legitimacy. [19]
Crucially, integration does not mean abandoning safeguards. If AI-assisted legal work is to coexist with the administration of justice, legal systems will increasingly require clearer disclosure norms, verification standards, procedural safeguards, confidentiality protections, and ethical guidance frameworks governing the use of AI-generated material in litigation. [3][4][8][17][18][20] Questions surrounding AI-assisted legal work may also increasingly intersect with broader statutory frameworks governing electronic communications, digital transactions, confidentiality, and the lawful processing of personal information. [13][14] Professional accountability cannot disappear merely because technology becomes more sophisticated.
This is particularly important in the context of legal practice itself. AI systems may assist practitioners in drafting, summarisation, procedural organisation, and research efficiency. Yet the obligation to exercise independent judgment, verify authorities, protect client confidentiality, and maintain candour toward the court remains fundamentally human. [3][4][8][10][12] The use of AI does not dilute professional duties; if anything, it may intensify the importance of professional supervision and legal literacy.
The same principle applies judicially. Courts increasingly face the difficult task of balancing openness to technological innovation against the need to preserve procedural fairness and public trust. As emerging African judicial discussions have increasingly recognised, artificial intelligence may assist with efficiency, translation, accessibility, and case-flow management, while still requiring meaningful human oversight and constitutionally grounded accountability structures. [17][18][20]
Ultimately, the significance of Nippon Life v OpenAI may lie less in whether artificial intelligence technically “practised law” than in the institutional questions the litigation exposes. The case forces legal systems to confront how law, technology, and accountability will coexist in an era where access to legal information, procedural assistance, and legal-style analysis is no longer confined to the traditional boundaries of the legal profession.
And perhaps that is the deeper lesson emerging from the current moment. The future of legal systems will not be determined solely by the sophistication of artificial intelligence, but by whether courts, practitioners, regulators, and policymakers are capable of adapting institutional safeguards quickly enough to ensure that technological innovation strengthens – rather than undermines – access to justice, human dignity, and the rule of law.
Sources
Primary Litigation Sources
Academic and Legal Commentary
South African Legislative and Policy Sources
African and International AI Governance Sources
About the Author:
Stephanie van der Walt is an admitted Attorney of the High Court of South Africa with experience in labour law, corporate governance, regulatory advisory, and executive-level legal services. She is the founder of Harbour Helberg Legal Services, a South African legal consultancy focused on labour law, governance, compliance, and strategic legal risk.