IN-HOUSE INSIGHTS: The Ethics of Generative AI: A Lawyer’s Perspective - | Asian Legal Business

For many, artificial intelligence (AI) is becoming a regular part of their daily work, and the legal field is no exception. Generative AI, in particular, is changing how lawyers handle tasks such as drafting documents and managing routine work. These tools undeniably offer advantages in efficiency and insight.

But there is a catch. Generative AI is a powerful assistant, not a substitute for legal judgment. As lawyers, our responsibility extends beyond finding answers quickly. We are trusted to provide sound advice, exercise independent judgment and protect the interests of those we serve. That is why the conversation about AI is not really about technology; it is about ethics.

Understanding the Risks

Before embracing generative AI, it is necessary to understand how it works.

Generative AI systems are powered by large language models (LLMs), which are trained on vast amounts of data and designed to predict the word that is most likely to come next in a sequence. In simple terms, they operate on probabilities rather than understanding. They do not think, reason or analyse in the way a lawyer does. As a result, AI outputs can be convincing but completely wrong.

One obvious risk is accuracy. An AI-generated response is only as reliable as the information on which it was trained and the instructions it receives. If the underlying data is outdated or inaccurate, the output may be too. Given how quickly laws evolve, relying on AI without verification can lead to costly mistakes.

Confidentiality presents another concern. Many publicly available AI tools retain user prompts to improve future versions of their systems. If sensitive business information, client data or privileged communications are entered into these platforms, there is a risk that the information may be stored or used in unintended ways.

There are also intellectual property issues. Generative AI learns from enormous volumes of content, some of which may be copyrighted. Because users often have little visibility into how outputs are generated, AI-generated content could inadvertently reproduce copyrighted material.

Finally, there is the issue of bias. Historical biases, stereotypes and inaccuracies can find their way into training datasets and ultimately into AI-generated outputs. If left unchecked, this can affect the quality, objectivity and fairness of legal work.

Five Principles for Responsible Use

So how should lawyers approach AI? The answer can be condensed into five principles.

First, accountability. Lawyers remain responsible for their work, regardless of whether AI was involved. Professional judgment cannot be outsourced to a machine. Our professional obligations stand behind every piece of advice.

Second, competence. As AI becomes more common, a full understanding of its capabilities and limitations is no longer optional. Lawyers do not need to become data scientists, but they should know enough to use these tools intelligently and recognise where risks may arise.

Third, oversight. AI-generated content should never be accepted without critical evaluation. Every output must be reviewed and challenged. Human supervision remains essential because AI can produce answers that are incomplete, inaccurate or simply fabricated.

Fourth, impartiality. Lawyers should remain alert to possible bias in AI outputs. Cross-checking results and relying on trusted sources are important safeguards against potentially unfair or misleading outcomes.

Finally, resilience. The AI systems we use must be secure, reliable and fit for purpose. This includes understanding how vendors handle data, assessing controls and ensuring appropriate safeguards are in place before deploying AI tools.

A Tool, Not a Replacement

Generative AI will undoubtedly reshape the legal profession in the years ahead. The opportunities are significant, but so are the responsibilities.

The real challenge is not whether lawyers should use AI, but how we use it. If we approach these technologies with curiosity, caution and sound judgment, AI can become a valuable tool that enhances our work. But the qualities that clients and businesses value most – judgment, integrity, independence and trust – remain uniquely human, and that is something no algorithm can replace.