The advent of artificial intelligence (AI) in legal composition has sparked considerable interest. AI-driven platforms provide tools to refine language, enhance coherence, and standardize tone, benefits that many legal professionals have embraced. Recent discussions at legal technology conferences underscore the imperative for attorneys to adopt AI to boost efficiency and maintain competitiveness in the evolving legal landscape.
AI operates through pattern recognition, probabilistic assessments, and statistically grounded predictions. It excels in standardization, thrives on repetition, and leverages extensive datasets. When applied to administrative tasks, these capabilities can be advantageous. AI can automate routine legal duties, scrutinize documents, highlight regulatory discrepancies, and expand access to fundamental legal information. It may also assist courts in identifying trends or inconsistent rulings.
However, these efficiencies come with significant costs. AI’s internal mechanisms are often opaque, particularly when based on machine learning models that evolve without explicit guidelines. This lack of transparency undermines the principle that legal authority must be explicable and open to scrutiny. If an individual is denied a right or penalized by a system whose logic is inaccessible, the very essence of legality is compromised.
Bias is another potential concern. Trained on existing data, AI systems can perpetuate and amplify prevailing inequalities and prejudices. Far from being neutral, such systems may reinforce discrimination under the guise of objectivity. In criminal justice, this could result in algorithms that disproportionately affect certain groups.
The potential fragmentation of legal reasoning is equally troubling. Different jurisdictions, institutions, or even judges may adopt distinct AI tools trained on varied datasets, leading to conflicting interpretations of similar laws. Uniformity and equality before the law, already under strain in multifaceted systems, may further deteriorate under uncoordinated automation.
The use of AI in law also risks facilitating quiet privatization. When core functions of legal interpretation or public decision-making are outsourced to private developers, democratic oversight could be compromised. Proprietary systems, protected by commercial secrecy and complex technical frameworks, often evade scrutiny. Legal authority becomes embedded in architectures that the public cannot inspect and courts cannot fully review.
There is also concern about the potential erosion of essential legal skills. Overreliance on AI could impair the ability of legal professionals to function effectively in scenarios where AI assistance is unavailable or unsuitable.
Furthermore, law is fundamentally a human institution—not merely a set of instructions to be executed but a forum for disagreement, compromise, and moral reflection. It allows space for forgiveness, proportionality, and evolution. AI systems, by contrast, tend to impose rules without context, calculate without conscience, and suppress the ambiguity that is often essential to justice. In doing so, they risk reshaping the legal landscape in ways that prioritize efficiency over ethical considerations.
Ultimately, the rule of law is foundational, ensuring that all individuals, including those in positions of power, are subject to publicly known and stable laws. Its effective operation demands more than procedural formality; it requires independent judgment, clarity of norms, and adherence to values such as justice, equality, and human dignity. These principles are not merely outputs to be optimized but are conditions that must be preserved through human reasoning and institutional design.
While I have consistently advocated for the integration of innovative technologies in legal research, my recent experiences with artificial intelligence have presented unforeseen challenges, not only because algorithms processing language cannot fully grasp legal doctrines, interpret the weight of legal history, or appreciate the moral nuances of judicial rulings. In jurisdictions like Malta, where the legal system blends civil and common law traditions, the mechanistic nature of AI exposes its limitations even more. Nonetheless, I remain optimistic that, as AI technologies advance and their application in legal research becomes more refined, my viewpoint will evolve to recognize their full potential.
