ABSTRACT
Artificial intelligence has moved from technological curiosity to professional reality. Generative artificial intelligence can already conduct preliminary legal research, analyse large volumes of documents, draft pleadings and submissions, identify inconsistencies in evidence and produce plausible draft judgments within seconds. The arrival of more capable systems raises a question which the legal profession has been reluctant to confront directly: what happens to lawyers and judges when machines can perform a substantial proportion of intellectual legal work faster, cheaper and perhaps eventually better than humans?
This article examines that question from the perspective of Ghana. It argues that artificial intelligence will not simply provide another research tool comparable to the transition from printed law reports to electronic databases. It potentially challenges the economic architecture of legal practice, the traditional apprenticeship model through which junior lawyers acquire expertise and, ultimately, assumptions about the nature of judicial decision-making itself.
The article situates AI within Ghana’s constitutional framework, particularly articles 18, 19, 23, 125, 127 and 296 of the 1992 Constitution, the constitutional requirements of judicial independence, fair hearing, privacy and accountable discretionary power, and existing professional obligations of Ghanaian lawyers. Comparative developments—including State v Loomis, Mata v Avianca, the English litigation culminating in Ayinde v London Borough of Haringey, the European Union Artificial Intelligence Act, ABA Formal Opinion 512 and UNESCO’s Guidelines for the Use of AI Systems in Courts and Tribunals—demonstrate both the extraordinary potential and profound dangers involved.
The article ultimately proposes a Ghanaian model of human judicial sovereignty: AI may research, organise, translate, predict, compare and recommend, but the final exercise of judicial power must remain attributable to a constitutionally authorised human judicial officer. Ghana should not attempt to protect lawyers and judges from technology. It should instead protect justice from irresponsible technology while preparing lawyers and judges for a profession in which machine intelligence may become ubiquitous.
Keywords: Artificial Intelligence; Generative AI; Artificial General Intelligence; Superintelligence; Ghana; Legal Profession; Judiciary; Judicial Independence; Legal Ethics; Constitutional Law; Access to Justice; Legal Education.
I. INTRODUCTION: THE MACHINE HAS ENTERED THE CHAMBERS
For centuries, legal practice has rested upon a largely unspoken assumption: legal intelligence is human intelligence.
The client consults a lawyer because the lawyer possesses specialised knowledge which the client does not. The lawyer researches statutes and authorities, identifies causes of action, drafts pleadings, interrogates evidence and constructs arguments. The judge, occupying the other side of the institutional equation, hears those arguments, determines facts, interprets law, exercises discretion and pronounces judgment.
The entire architecture presupposes scarcity.
Legal knowledge is difficult to acquire. Legal reasoning takes years to develop. Research consumes time. Drafting requires skill. Judicial experience is accumulated over decades.
Artificial intelligence attacks that scarcity.
A modern generative AI system can ingest a substantial quantity of text, summarise competing arguments, identify apparent contradictions, suggest issues for determination, produce a first draft of submissions and generate a proposed judgment in a fraction of the time traditionally required.
It may be wrong.
Indeed, sometimes spectacularly wrong.
But that observation provides considerably less comfort than many lawyers suppose.
The important question is not whether AI is infallible today. Human lawyers and judges are not infallible either. The economically disruptive question is whether AI can perform an increasing proportion of legal work well enough, cheaply enough and quickly enough that clients, law firms, governments and judicial institutions reorganise themselves around it.
That process has already begun.
Ghana itself formally launched its National Artificial Intelligence Strategy in April 2026. The Strategy emphasises ethical AI, data governance, infrastructure, workforce readiness and practical deployment.¹ Ghana’s Judicial Service had already travelled considerably along the road of digitalisation through e-Justice and its electronic legal-research infrastructure.²
The question, therefore, is no longer whether technology will enter Ghanaian justice.
It has entered.
The question is what happens next.
II. ARTIFICIAL INTELLIGENCE TO SUPERINTELLIGENCE
Conceptual precision is necessary.
Artificial intelligence is an umbrella expression encompassing computational systems capable of performing tasks historically associated with human intelligence. Generative AI describes systems capable of generating new text, images, audio, computer code and other material from prompts.
Artificial General Intelligence (‘AGI’) usually refers to a hypothetical system capable of performing intellectual tasks across domains at a broadly human or superior level rather than being confined to narrow functions.
Artificial superintelligence (‘ASI’) is a still more ambitious concept: intelligence substantially exceeding the cognitive performance of humans across most relevant intellectual domains.
There is currently no scientifically established date upon which AGI or superintelligence will arrive. It may arrive sooner than expected, considerably later than predicted, or develop differently from current expectations.
A serious academic discussion should therefore resist technological prophecy. But uncertainty about timing is not an argument for institutional complacency.
The legal profession purchases insurance against unlikely catastrophes, drafts contracts anticipating remote contingencies and grants injunctions where future harm is sufficiently serious. It would be peculiar for the profession whose intellectual discipline consists substantially of anticipating risk to refuse to contemplate a technological development merely because its precise arrival date cannot be proved.
The responsible question is therefore conditional:
If increasingly capable AI approaches or exceeds human performance in legal reasoning, what happens to the institutions currently organised around the scarcity of human legal intelligence?
That question is already urgent even without superintelligence.
III. THE CONSTITUTIONAL STARTING POINT: WHO MAY JUDGE IN GHANA?
Any discussion of replacing Ghanaian judges with machines encounters an immediate constitutional difficulty.
Article 125(1) of the 1992 Constitution provides that justice emanates from the people and shall be administered in the name of the Republic by the Judiciary, which is independent and subject only to the Constitution. Article 125(3) provides more emphatically that the judicial power of Ghana is vested in the Judiciary.³
This is not merely an administrative arrangement. It is a constitutional allocation of sovereign power.
In New Patriotic Party v Attorney-General (31st December Case), the Supreme Court situated judicial power within the Constitution’s wider separation-of-powers architecture.⁴ The celebrated constitutional jurisprudence beginning with Tuffuor v Attorney-General similarly emphasises that the Constitution is a living instrument establishing institutions whose authority must be understood according to its text, structure and underlying constitutional purposes.⁵
Consequently, an important distinction must be drawn between AI used by a judge and AI acting as the judge. The former is technologically revolutionary but constitutionally manageable. The latter presents a fundamental constitutional question.
Article 127(1) declares that in exercising judicial power the Judiciary is subject only to the Constitution and shall not be subject to the control or direction of any person or authority. Article 127(2) prohibits interference with judges and judicial officers in the exercise of their judicial functions.⁶
Suppose, however, that the decisive reasoning underlying a judgment is generated by a proprietary algorithm developed abroad, trained upon undisclosed datasets and modified remotely by a technology corporation. Who, in substance, is exercising judicial power? The judge?, The Judicial Service?, The engineers?, The corporation controlling the model?, The training data? Or nobody whom Ghana’s Constitution recognises?
This is not science fiction. It is a constitutional question concerning attribution of state power.
IV. AI AS THE NEW JUNIOR LAWYER
The earliest employment disruption will probably occur below the level of senior advocates and superior court judges.
Consider the traditional work of the junior lawyer:
- researching authorities;
- preparing case summaries;
- conducting document review;
- preparing chronologies;
- comparing witness statements;
- drafting correspondence;
- producing first drafts of pleadings;
- preparing research memoranda;
- checking contracts;
- summarising depositions or testimony; and
- assembling authorities for senior counsel.
These are precisely the activities in which contemporary AI is becoming increasingly capable. The economic consequence is obvious.
If one senior lawyer equipped with sophisticated AI can perform work previously requiring four associates, economic pressure will eventually ask why four associates remain necessary.
The first serious AI unemployment problem in law may therefore not involve machines replacing Supreme Court judges.
It may involve machines replacing the work by which young lawyers traditionally become senior lawyers. This creates what may be called the apprenticeship paradox.
The legal profession understandably welcomes automation of repetitive junior work. But yesterday’s repetitive junior work produced today’s experienced senior lawyer.Who produces tomorrow’s senior lawyer when tomorrow’s junior lawyer has nothing difficult left to do?
Legal education and professional training must answer that question before market forces answer it for us.
V. DESTRUCTION OF LEGAL INFORMATION ASYMMETRY
Legal practice has historically benefited from information asymmetry.
The lawyer knows what the client does not. The lawyer knows where to find legislation. The lawyer knows which cases matter. The lawyer understands procedural rules. The lawyer translates legal language into practical advice.
Digital databases have weakened the monopoly but generative AI may fracture it.
A Ghanaian businessperson contemplating a lease can increasingly ask an AI system to identify unusual clauses.
An employee may obtain a preliminary explanation of the Labour Act before consulting counsel.
A prospective litigant may upload correspondence and ask whether the facts disclose a potential cause of action.
A company may automate substantial portions of contract review and compliance.
This does not eliminate lawyers. It changes the economic question from: “Does the client need legal information?”
to: “What does the human lawyer add after the client can obtain sophisticated preliminary legal information almost instantly?”
The answer must increasingly lie in strategy, judgment, advocacy, negotiation, empathy, accountability and contextual understanding.
The lawyer whose principal economic contribution is reproducing information obtainable from a machine will find that contribution increasingly difficult to monetise.
VI. THE AI LAWYER’S FIRST SIN: HALLUCINATED AUTHORITY
The most immediate danger is not superintelligence. It is stupidity delivered with extraordinary confidence.
Generative AI systems may invent cases, fabricate quotations, misstate legislation and construct entirely fictional citations while presenting them in impeccably professional language. The international legal profession has already received painful warnings.
In Mata v Avianca Inc, lawyers submitted non-existent judicial authorities generated through ChatGPT and were sanctioned by a United States federal court.⁷
The English courts subsequently confronted comparable problems. In Ayinde v London Borough of Haringey and related proceedings, the High Court warned that publicly available generative AI tools could produce plausible but false authorities and that lawyers using such systems remained professionally responsible for verifying the material against authoritative sources.⁸
The lesson for Ghana is immediate.
Under the Legal Profession (Professional Conduct and Etiquette) Rules, a lawyer must not deceive the court and occupies a confidential position in relation to the client’s information.⁹
AI does not dilute those duties.It intensifies them. If counsel places a fictional authority before the High Court, the fact that a computer invented it provides no defence. The lawyer chose to sign the process. The lawyer chose to file it. The lawyer remains responsible.
A professional rule for the AI era can therefore be expressed in nine words:
The machine may draft it; the lawyer must own it.
VII. CONFIDENTIALITY, PRIVACY AND THE GHANAIAN CLIENT
There is an equally serious danger concerning information.
Lawyers and judges routinely possess extraordinarily sensitive material: medical records, banking information, children’s identities, commercial secrets, sexual allegations, witness statements, national-security material, matrimonial information and privileged communications. Uploading such information indiscriminately into public generative AI platforms may constitute far more than technological carelessness.
Article 18(2) of the Constitution protects persons against unlawful interference with privacy of home, property, correspondence and communication.¹⁰ The Data Protection Act 2012 (Act 843) establishes a statutory framework governing processing of personal data and expressly recognises professional privilege within its scheme.¹¹ Ghana’s Cybersecurity Act 2020 (Act 1038) adds another dimension to the national framework governing information security.¹²
The legal profession therefore requires a distinction between consumer AI and professionally approved legal AI.
A judge should not upload a confidential criminal docket into whichever chatbot happens to be convenient.
A lawyer should not feed privileged corporate documents into an external system without understanding what happens to those documents.
Institutional legal AI should incorporate encryption, access controls, audit logs, retention policies, data-residency considerations and contractual restrictions preventing confidential information from becoming training material without lawful authority.
AI competence is becoming part of professional competence.
VIII. THE ALGORITHMIC JUDGE
Now consider the Bench.
Imagine an AI judicial assistant with secure access to: every reported Ghanaian Supreme Court judgment; every Court of Appeal decision; relevant High Court decisions; every Act of Parliament; every constitutional instrument; every legislative instrument; historical versions of legislation; authoritative academic commentary; and the complete electronic record of the case before the judge.
Within seconds, the system could identify disputed issues, create a chronology, compare testimony, locate conflicting authorities, detect potentially overlooked statutory provisions and generate a proposed analytical framework.
Would it be irresponsible for a judge to use such a system?
Quite the opposite. It may eventually become irresponsible not to use it. If technology can reduce a three-week research exercise to three hours without compromising accuracy, refusing to use it merely because “this is how judges have always worked” does nothing for litigants waiting years for justice.
The proper question is therefore not whether judges should use AI. They will. The question is where does assistance end and adjudication begin.
IX. WHY THE AI JUDGE IS SO SEDUCTIVE
An artificial judge possesses apparently irresistible administrative advantages.
It does not sleep. It does not become tired after listening to six witnesses. It does not forget an authority read fifteen years earlier. It does not require annual leave. It can theoretically hear or process thousands of routine matters simultaneously. It could translate proceedings, search authorities and compare cases in seconds.
For an overburdened justice system, the attraction is obvious. But efficiency is not justice. A perfectly efficient injustice remains injustice.
The classic proposition in R v Sussex Justices, ex parte McCarthy that justice must not merely be done but must manifestly be seen to be done¹³ acquires a strange new relevance in the age of algorithms.
How is justice “seen” to be done when nobody outside the technology provider understands how the decisive recommendation was produced?
What happens when the model contains hidden biases? Who explains the judgment? Who is accountable for an error? And who hears the appeal against the machine?
X. FAIR HEARING, REASONS AND ALGORITHMIC DUE PROCESS
Article 19 of the Ghanaian Constitution guarantees fair hearing in criminal proceedings. The wider constitutional commitment to procedural fairness extends beyond criminal adjudication. Article 23 requires administrative bodies and officials to act fairly and reasonably and to comply with requirements imposed by law. Article 296 requires discretionary powers to be exercised fairly and candidly and prohibits arbitrary, capricious and biased decision-making.¹⁴
These provisions have profound implications for algorithmic government. A person adversely affected by public power should ordinarily be capable of understanding the basis upon which that power was exercised. That becomes difficult where an AI model functions as a “black box”.
The American decision in State v Loomis illustrates the difficulty. The Wisconsin Supreme Court permitted limited use of the COMPAS algorithmic risk-assessment system in sentencing while recognising serious concerns about opacity and appropriate limitations upon reliance on algorithmic scores.¹⁵
The European Union has gone further institutionally. Under the EU Artificial Intelligence Act, certain AI systems used to assist judicial authorities in researching and interpreting facts and law and applying law to concrete facts are classified as high-risk systems.¹⁶
The classification is instructive. A judicial drafting system is not treated like an electronic calculator. Why? Because adjudication concerns fundamental rights and state power.
Ghana should adopt the same conceptual seriousness even if it ultimately develops a different regulatory model.
Judicial independence traditionally focuses upon preventing interference by governments, politicians, litigants and powerful private interests.
AI introduces a new potential actor: the infrastructure provider.
Imagine that Ghanaian courts become dependent upon one proprietary AI system. The system’s model is updated remotely. Its parameters change. Its training data changes. Its safety policies change.Perhaps its understanding of politically controversial questions changes. Nobody in the Judiciary authorised the substantive modification.Yet tomorrow’s legal analysis differs from yesterday’s.
Article 127 was drafted long before large language models existed, but its principle is technologically neutral. Judicial power must remain independent. In the twenty-first century, judicial independence must therefore include technological independence. Ghana cannot constitutionally surrender the cognitive infrastructure of its courts to an opaque private system over which the Judiciary possesses insufficient control. Digital sovereignty is consequently not merely an economic concern. It may become a constitutional requirement.
XII. SUPERINTELLIGENCE: WHAT IF THE MACHINE REALLY DOES BECOME BETTER THAN US?
Now we arrive at the uncomfortable question. Suppose future AI becomes substantially better at legal reasoning than humans. Suppose it can read every Ghanaian case ever decided. Suppose it understands every statute and constitutional provision. Suppose it simultaneously compares Ghanaian jurisprudence with decisions from England, Canada, India, South Africa, Kenya, Nigeria, the European Court of Human Rights, the U.S and every other relevant jurisdiction.
Suppose it identifies doctrinal contradictions no human scholar has noticed. Suppose it remembers every fact in a 20,000-page commercial record. Suppose it predicts evidential inconsistencies with extraordinary accuracy. Suppose it produces in ten seconds a judgment superior in legal analysis to one that an experienced judge might produce after three weeks. Then what?
At that stage the argument that “machines cannot reason like lawyers” will have become irrelevant. The question becomes constitutional and philosophical rather than technological: Should superior intelligence necessarily possess superior authority? The answer should be no.
A brilliant professor does not possess judicial power merely because he is cleverer than the judge. A senior lawyer does not acquire constitutional authority over a magistrate merely because she knows more law. Judicial authority derives not from IQ but from constitutional legitimacy. The machine may therefore one day become the most knowledgeable entity in the courtroom without becoming the judge.
That distinction is crucial.
XIII. WILL LAWYERS ACTUALLY LOSE THEIR JOBS?
Yes—some probably will.
The comforting proposition that “AI will never replace lawyers; lawyers using AI will merely replace lawyers who do not” is only partly persuasive. Initially, that is likely to be true. Eventually, however, productivity itself affects employment.
If an AI-equipped lawyer can perform in one day work that previously occupied five lawyers for one week, the demand for lawyers cannot automatically remain unchanged. Some areas are particularly exposed: routine conveyancing; standard contract drafting; document review; basic legal research; simple company documentation; compliance monitoring; routine debt recovery; standardised applications; and first-level legal advice.
Other areas are considerably more resistant: complex advocacy;
high-stakes negotiation; criminal defence; factually difficult litigation; strategic counselling; relationship-intensive practice; constitutional litigation; and matters requiring exceptional interpersonal trust.
The profession will not disappear. But its employment pyramid may become dramatically narrower.
XIV. WILL JUDGES LOSE THEIR JOBS?
The position of judges is different. Lawyers operate substantially within a market. Judges exercise sovereign constitutional power. AI may therefore reduce the number of human beings required to process judicial work long before Ghana would constitutionally or socially accept machine judges.
Routine matters may increasingly become automated or semi-automated. AI may prepare uncontested orders. It may triage cases. It may identify procedural defects. It may generate draft directions. It may calculate interest and damages. It may summarise evidence. It may prepare first drafts of routine rulings.
One human judge, supported by sophisticated AI, might consequently manage a docket previously requiring several judicial officers and research assistants.
The employment threat to judges may therefore appear not as mass dismissal but as: slower recruitment; reduction in support staff; automation of routine adjudicative functions; and concentration of human judges upon contested, discretionary and constitutionally significant disputes.
The judge of the future may become less a processor of information and more an accountable constitutional supervisor of machine-assisted legal reasoning.
XV. THE DANGER OF AUTOMATION BIAS
An even subtler danger arises when the human judge technically retains final authority but practically defers to the machine. This is automation bias.
Suppose an AI system announces: “Based upon 14,312 comparable cases, there is a 91.7 per cent probability that this accused presents a high risk of reoffending.” A human judge may formally possess discretion. Psychologically, however, rejecting a precise numerical recommendation generated from thousands of cases can become difficult. The machine does not need legal authority to dominate the decision. It merely needs epistemic authority. “Human in the loop” is therefore insufficient if the human merely presses the ACCEPT button. Meaningful human oversight requires the decision-maker to understand the recommendation, remain capable of rejecting it and give independently defensible reasons for the ultimate decision.
UNESCO’s 2025 Guidelines for the Use of AI Systems in Courts and Tribunals appropriately advocate AI as an assistive rather than substitutive technology operating under meaningful human supervision.¹⁷
That should become the Ghanaian baseline.
XVI. THE RESPONSIBILITY GAP
AI creates another jurisprudential problem. Assume an AI-assisted judgment wrongly sends an innocent person to prison. The judge says:
“The risk model recommended conviction.” The software company says: “Our system only assists judges.” The programmers say: “We did not decide the case.” The government says: “The Judiciary is independent.” The machine says nothing. Everyone participated. Nobody accepts responsibility. This is the responsibility gap.
Constitutional adjudication cannot tolerate it. Every exercise of judicial power must remain attributable to a constitutionally responsible human decision-maker. The judge may consult the machine. The judge may disagree with it. The judge may learn from it. But the judge must ultimately be capable of saying: “This is my decision. These are my reasons. I take judicial responsibility for them.”
XVII. A GHANAIAN DOCTRINE OF HUMAN JUDICIAL SOVEREIGNTY
Ghana should develop what this article proposes to call the Doctrine of Human Judicial Sovereignty. The doctrine would contain five propositions.
First, AI may assist the exercise of judicial power but may not independently possess final judicial power.
Second, any AI system materially influencing adjudication must remain subordinate to a constitutionally authorised judicial officer.
Third, a judge must retain meaningful capacity to understand, question and reject an AI recommendation.
Fourth, judicial reasons must remain independently defensible without reliance upon undisclosed algorithmic authority.
Fifth, responsibility for the final judgment remains with the human judicial officer.
This approach harmonises technological innovation with articles 125 and 127. The constitutional issue is therefore not whether judges may use machines. Judges have always used tools. The issue is whether the tool becomes the constitutional decision-maker.
XVIII. THE PROFESSIONAL ETHICS OF THE AI LAWYER
The American Bar Association’s Formal Opinion 512 provides useful comparative guidance. It identifies competence, confidentiality, communication, supervision, candour toward tribunals and reasonable fees as central professional obligations when lawyers employ generative AI.¹⁸
Ghana requires comparable guidance adapted to its own professional framework. At minimum, Ghanaian lawyers should be required to: verify every AI-generated authority; protect confidential information;
understand materially relevant limitations of AI systems they use; supervise AI-assisted work performed within their chambers; avoid representing AI-generated material as independently researched where that representation would be misleading; charge clients fairly where automation substantially reduces work required; and remain personally responsible for documents filed under their professional authority.
The last point deserves emphasis.
A lawyer should not bill a client for ten hours of research where AI performed the substantive task in ten minutes and the lawyer spent one hour verifying it, unless the agreed fee arrangement lawfully justifies something other than time billing.
AI therefore threatens not only employment models. It challenges billing models.
XIX. LEGAL EDUCATION MUST BE REBUILT
Law schools cannot continue educating students as though generative AI does not exist. But neither should students simply be permitted to outsource thinking to machines. The objective should be AI-assisted intellectual independence.
Ghanaian legal education should incorporate: AI-assisted legal research; verification of machine-generated authorities; prompt design; algorithmic bias; AI ethics; data protection; cybersecurity; automated decision-making; AI regulation; comparative technology law; and practical exercises requiring students to critique defective AI-generated legal analysis.
Assessment must also change. If an essay question can be answered competently by pasting the question into a chatbot, the examination may no longer be testing what educators think it is testing.
Oral examinations, practical simulations, supervised drafting, live advocacy and defence of written work may become increasingly important. The purpose of legal education should not be to produce graduates who can compete with machines in remembering law. Machines will win that contest.
Education must produce lawyers capable of recognising when the machine is wrong.
XX. THE GHANAIAN JUDICIARY NEEDS ITS OWN AI INFRASTRUCTURE
The Judicial Service should ultimately consider developing or procuring secure AI infrastructure specifically designed for Ghanaian adjudication. Such a system could be grounded in verified sources including: the Constitution; Acts of Parliament; subsidiary legislation; Supreme Court judgments; Court of Appeal judgments; selected High Court decisions; authoritative Ghana Law Reports; and procedural rules.
The existing e-Judgment platform already demonstrates institutional recognition of electronic judicial research.¹⁹ AI represents the next logical stage.
A properly designed judicial AI could: produce neutral case chronologies; identify potentially relevant authorities; flag contradictory precedents; identify amendments to statutes; summarise submissions; compare witness testimony; identify unanswered issues; transcribe proceedings; translate approved material; and assist with routine drafting.
But it should operate within Judicial Service infrastructure or under contractual and technical safeguards sufficient to protect judicial independence and confidential information.
Ghana should build AI for judges, not accidentally permit technology companies to build judges for Ghana.
XXI. ACCESS TO JUSTICE: THE OTHER SIDE OF THE STORY
The debate should not become occupational protectionism. The purpose of the legal system is not to preserve lawyers’ jobs. It is to deliver justice.
AI presents extraordinary opportunities for Ghana. A citizen in a remote community could receive basic procedural information without travelling to Accra. Court information could be translated into Ewe Twi, Ga, Dagbani Grune and other Ghanaian languages. Self-represented litigants could receive assistance completing forms.
Judges could access authorities instantly. Case backlogs could be triaged. Transcription could become automatic. Routine administrative processes could operate continuously.
Lawyers could spend less time researching and more time advising. The correct policy question is therefore not: “How do we save lawyers from AI?” It is: “How do we use AI to improve justice while preserving the constitutional values that make justice legitimate?”
Those questions are very different.
XXII. A NATIONAL LEGAL AI FRAMEWORK FOR GHANA
Ghana should establish a Legal and Judicial Artificial Intelligence Framework involving Parliament, Judicial Service, General Legal Council, Ghana Bar Associations, Attorney-General’s Department, Data Protection Commission, universities, technology specialists and civil-society representatives.
The framework should address:
- Judicial AI classifications. Differentiate administrative, research, advisory and decisional systems.
- Prohibited uses. Certain decisions affecting imprisonment, constitutional rights, child custody and other fundamental interests should not be finally determined autonomously by machines.
- Human oversight. Material AI recommendations must remain reviewable and rejectable.
- Verification. AI-generated authorities must be independently checked.
- Confidentiality. Sensitive judicial and client information should only enter approved systems.
- Algorithmic transparency. Where an algorithm materially influences a state decision, sufficient information should exist to permit meaningful challenge.
- Auditability. Judicial AI should preserve appropriate records of use.
- Procurement. Technology contracts should protect judicial independence and Ghana’s data sovereignty.
- Education. AI literacy should become mandatory continuing professional development for lawyers and judicial officers.
- Equality. AI adoption must not deepen the divide between wealthy litigants possessing sophisticated technology and poorer citizens.
- Professional responsibility. The General Legal Council should issue specific AI practice guidance.
- Periodic review. Rules must evolve because AI capability is developing considerably faster than ordinary legislative cycles.
Ghana’s National AI Strategy provides an important national policy foundation.²⁰ The legal sector should now develop its specialised response.
XXIII. THE NEW PROFESSIONAL DIVIDE
The future divide may not be between lawyers and machines. It may initially be between two categories of lawyers: lawyers who can intelligently use machines and lawyers who cannot.
A lawyer refusing AI altogether may eventually resemble a lawyer who refuses electronic research because printed law reports feel more authentic.
But the opposite extreme is equally dangerous. A lawyer who believes everything the machine produces is not technologically sophisticated. He is technologically dependent and therefore professionally exposed to foreseeably avoidable lawsuits.
The valuable professional will occupy the space between rejection and surrender. He will ask the machine. He will interrogate the answer. He will verify the authority. He will identify what the machine overlooked.And he will remain willing to disagree.
That is not the death of legal reasoning. It may become its highest form.
XXIV. WHEN THE MACHINE BECOMES THE BETTER LAWYER
There may eventually come a deeply uncomfortable moment. The AI may produce the better argument. The AI may find the overlooked case.
The AI may expose the inconsistency in the witness’s evidence. The AI may produce the more coherent interpretation. The AI may even produce the better draft judgment. At that moment professional pride will be useless. The ethical obligation must be to use the better reasoning.
But intelligence and authority must remain conceptually separate. A GPS may know the road better than the trotro driver but the driver remains responsible for the vehicle.
Likewise, the future AI may know more law than the judge but the judge must remain responsible for the judgment.
XXV. CONCLUSION: THE LAST JUDGMENT MUST REMAIN HUMAN
Artificial intelligence will change legal practice in Ghana. That proposition is no longer speculative. It is already a fact.
Ghana has adopted a National Artificial Intelligence Strategy. The Judicial Service already operates within an increasingly digital environment. International courts, regulators and professional bodies are already confronting fabricated authorities, algorithmic decision-making, professional confidentiality and machine-assisted adjudication.
The transformation will accelerate. Legal research will become increasingly automated. Drafting will become extraordinarily fast. Document review will become machine dominated. Traditional junior legal work will contract. Law firms may become smaller. Clients will become better informed. Some legal jobs will disappear. New legal jobs will emerge.
Judicial administration will become increasingly automated. Judges will work with extraordinarily capable artificial research assistants. And if AGI or superintelligence eventually arrives, every assumption examined in this article will become more urgent.
But Ghana should distinguish intelligence from authority. A machine may eventually know more law than every lawyer in the courtroom. It may remember more cases than every judge on the Bench. It may reason faster. It may calculate better. It may detect patterns invisible to us.
We should use it. We should learn from it. We should permit it to expose our errors. We should allow it to make justice faster, cheaper and more accessible.
But when a citizen is to be imprisoned; when property is to be taken; when a marriage is to be dissolved; when custody of a child is to be determined; when government power is to be restrained; or when constitutional rights are finally declared, there must remain someone who can look the citizen in the eye and say: “I made this decision. These are my reasons. And I accept responsibility for it.” That person should remain a human judge.
The future of law should therefore not be human versus machine. It should be human judgment amplified by machine intelligence, bounded by constitutional principle. And perhaps the greatest danger facing Ghana’s legal profession is not that artificial intelligence will replace lawyers and judges.
It is that lawyers and judges who understand artificial intelligence will replace those who do not.
FOOTNOTES
- Ministry of Communication, Digital Technology and Innovations, ‘Ghana Launches National AI Strategy to Drive Digital Transformation and Economic Growth’ (24 April 2026).
- Judicial Service of Ghana, ‘E-Justice Project: Frequently Asked Questions’; Judicial Service of Ghana, ‘E-Judgment Web Portal’.
- Constitution of the Republic of Ghana 1992, art 125(1), (3).
- New Patriotic Party v Attorney-General (31st December Case) [1993–94] 2 GLR 35 (SC).
- Tuffuor v Attorney-General [1980] GLR 637 (SC).
- Constitution of the Republic of Ghana 1992, art 127(1)–(2).
- Mata v Avianca Inc 678 F Supp 3d 443 (SDNY 2023).
- R (Ayinde) v London Borough of Haringey [2025] EWHC 1383 (Admin). The court stressed that generative AI tools can generate apparently plausible but fictitious cases, quotations and propositions and that professional users remain responsible for verification against authoritative sources.
- Legal Profession (Professional Conduct and Etiquette) Rules 1969 (LI 613), rr 5 and 7. See also the professional misconduct provisions concerning deception of the court.
- Constitution of the Republic of Ghana 1992, art 18(2).
- Data Protection Act 2012 (Act 843), including the statutory data-protection framework and provisions concerning professional privilege.
- Cybersecurity Act 2020 (Act 1038).
- R v Sussex Justices, ex parte McCarthy [1924] 1 KB 256, 259.
- Constitution of the Republic of Ghana 1992, arts 19, 23 and 296.
- State v Loomis 881 NW 2d 749 (Wis 2016).
- Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act), annex III, para 8(a) and recital 61.
- Juan David Gutiérrez, Guidelines for the Use of AI Systems in Courts and Tribunals (UNESCO 2025).
- American Bar Association Standing Committee on Ethics and Professional Responsibility, Formal Opinion 512, ‘Generative Artificial Intelligence Tools’ (29 July 2024).
- Judicial Service of Ghana, ‘E-Judgment Web Portal’.
- Republic of Ghana, National Artificial Intelligence Strategy 2025–2035; Ministry of Communication, Digital Technology and Innovations, ‘Ghana Launches National AI Strategy to Drive Digital Transformation and Economic Growth’ (24 April 2026).
BIBLIOGRAPHY
A. Ghanaian Constitutional and Legislative Materials
Constitution of the Republic of Ghana 1992.
Cybersecurity Act 2020 (Act 1038).
Data Protection Act 2012 (Act 843).
Legal Profession Act 1960 (Act 32).
Legal Profession (Professional Conduct and Etiquette) Rules 2020 (L.I. 2423).
Republic of Ghana, National Artificial Intelligence Strategy 2025–2035.
B. Ghanaian Cases
New Patriotic Party v Attorney-General (31st December Case) [1993–94] 2 GLR 35 (SC).
Tuffuor v Attorney-General [1980] GLR 637 (SC).
C. Comparative Cases
R (Ayinde) v London Borough of Haringey [2025] EWHC 1383 (Admin).
Mata v Avianca Inc 678 F Supp 3d 443 (SDNY 2023).
R v Sussex Justices, ex parte McCarthy [1924] 1 KB 256.
State v Loomis 881 NW 2d 749 (Wis 2016).
D. International and Comparative Materials
American Bar Association Standing Committee on Ethics and Professional Responsibility, Formal Opinion 512, ‘Generative Artificial Intelligence Tools’ (29 July 2024).
European Union, Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act).
Gutiérrez JD, Guidelines for the Use of AI Systems in Courts and Tribunals (UNESCO 2025).
UNESCO, Global Toolkit on AI and the Rule of Law for the Judiciary (UNESCO 2023).
E. Ghanaian Institutional Materials
Judicial Service of Ghana, ‘E-Justice Project: Frequently Asked Questions’.
Judicial Service of Ghana, ‘E-Judgment Web Portal’.
Ministry of Communication, Digital Technology and Innovations, ‘Ghana Launches National AI Strategy to Drive Digital Transformation and Economic Growth’ (24 April 2026).
Ministry of Communication, Digital Technology and Innovations, ‘Embracing the Future: Ghana Launches National AI Strategy to Drive Innovation’ (2025).