Artificial intelligence (AI) is rapidly transforming many professional sectors, and the legal industry is no exception. Tools that generate text using large language models can draft contracts, letters, policies, and other legal documents in seconds. For businesses and individuals looking to reduce legal costs and save time, this capability is appealing. However, relying on AI to draft legal documents introduces a range of significant risks. These risks arise from limitations in accuracy, legal judgment, confidentiality, accountability, and the broader regulatory environment surrounding AI use in legal practice. Accuracy and “Hallucination” Risks One of the most widely discussed risks of AI-generated legal content is the potential for inaccuracies. They do not truly understand the law, legal reasoning, or the specific facts of a case. As a result, they may produce text that appears authoritative but is legally incorrect or incomplete. This phenomenon is often referred to as “hallucination,” where an AI system confidently generates information that is false or unsupported. In a legal document, such errors could include citing non-existent cases, misinterpreting statutes, or drafting clauses that do not achieve the intended legal outcome. Because legal language often appears technical and complex, users may not easily recognise these mistakes without expert review. Even small inaccuracies can have major consequences. A poorly drafted contract clause might fail to allocate risk properly, omit critical definitions, or create ambiguity that later leads to disputes. In regulated contexts—such as employment, consumer protection, or data privacy—incorrect language could also result in non-compliance with the law. AI drafted contracts we have seen serve more as a fundamental outline, providing basic clauses while omitting industry standard terms. Often clients end up with a 2-page contract which, although lays out the parties’ intentions, does little to address what happens if things go wrong. Lack of Contextual Understanding Legal drafting requires careful consideration of context. Lawyers typically analyse not only the law but also the client’s specific circumstances, commercial objectives, jurisdictional differences, and risk tolerance of the parties involved. AI systems, by contrast, generally rely on generic prompts and broad training data rather than a deep understanding of the client’s situation. As a result, AI-generated documents may be overly generic or misaligned with the user’s needs. Legal documents are rarely “one size fits all.” Subtle variations in wording can have major implications for enforceability, liability, and dispute resolution. Without human legal expertise to tailor and interpret the language, AI-generated drafts may fail to protect the user’s interests adequately. Confidentiality and Data Security Concerns Another major risk involves confidentiality and data security. Legal work frequently involves sensitive information, including trade secrets, financial details, and personal data. When users input such information into AI systems, there is a potential risk that the data could be stored, processed, or exposed in ways that compromise confidentiality. If users are not fully aware of how their data is handled, they may inadvertently expose confidential information. Regulatory and Professional Responsibility Issues Lawyers themselves must also consider their professional responsibilities when using AI tools. Simply relying on AI-generated text without proper review could fall short of these obligations. Courts and regulators are increasingly attentive to this issue. There have already been instances where legal professionals submitted AI-generated legal arguments containing fabricated case citations. Such incidents highlight the need for rigorous verification and professional oversight when using AI in legal drafting. Liability and Accountability Challenges In practice, users are often the ones who bear the risk. Many AI providers include disclaimers stating that their tools are not intended to provide legal advice and that users remain responsible for verifying outputs. This means that individuals who rely on AI-generated legal documents without professional review may have limited recourse if problems arise later. Users may not be aware of the contra proferentem doctrine, meaning contract terms are interpreted against the party who drafted them. A poorly drafted AI document may therefore work against the party using it. Bias and Training Data Limitations AI systems are trained on large datasets that may contain biases, outdated legal interpretations, or incomplete information. As a result, the documents they generate may reflect those underlying limitations. For example, an AI model might produce language that reflects older regulatory standards or fails to incorporate recent legislative changes. It may also reproduce biased assumptions embedded in historical data. In legal contexts involving employment policies, discrimination laws, or regulatory compliance, such biases could lead to problematic outcomes. Mitigating the Risks Despite these risks, AI can still be a valuable tool when used appropriately. Many legal professionals already use AI to assist with research, document review, and initial drafting. The key is to treat AI-generated text as a starting point rather than a finished product. Human oversight remains essential. Lawyers should carefully review, edit, and verify any AI-generated content before it is used in a legal context. In addition, users should choose AI tools that provide transparency about how data is handled and that offer features designed for legal workflows. Training and education are also important, ensuring that professionals understand both the capabilities and the limitations of AI systems. Conclusion AI has the potential to significantly improve efficiency in legal drafting, reducing the time and cost associated with producing routine documents. However, these benefits come with substantial risks. Issues related to accuracy, contextual understanding, confidentiality, regulatory compliance, liability, overreliance, and bias all pose challenges for those who rely on AI-generated legal text. For now, AI should be viewed as an assistive technology rather than a substitute for legal expertise. Careful oversight, professional judgment, and robust safeguards are essential to ensure that AI enhances legal practice rather than undermining it. As technology continues to evolve, regulators, legal professionals, and technology providers will need to work together to establish standards that balance innovation with the protection of clients and the integrity of the legal system. If you find yourself dealing with an AI-related issue in your business, feel free to get in touch. Our team would be happy to talk through your situation and help you understand where you stand.
