The Singapore Law Gazette

Generative AI In Legal Practice- Lawyers Still Required

Generative AI tools have become common in everyday legal practice. They are increasingly being used to summarise cases, draft documents, and organise information.

The question confronting the legal profession is no longer whether lawyers will encounter AI in their work, but how its growing presence may affect the skills, values, and modes of thinking that have traditionally underpinned legal practice. These issues were highlighted at the Opening of the Legal Year 2026¹Legal practice must guard against risks of AI degrading lawyers’ skills: Chief Justice – CNALaw Minister and Chief Justice to co-lead committee to tackle lawyer attrition rates, impact of AI | The Straits Times.

While AI tools can enhance efficiency, there is concern that over-dependence may, over time, erode foundational legal skills, professional judgment, and the lawyer’s role as a trusted adviser.

This article explores the challenges arising from the use of generative AI in everyday legal work and considers ways they can be navigated.

Junior Lawyers: Learn With AI, Not Instead of Learning

AI can feel like a superpower for junior lawyers and trainees. It produces answers instantly and drafts fluently. However, heavy reliance at an early stage may risk hollowing out essential skills such as legal research, reasoning, and structured writing.

Consider the following when using AI tools:

• Think before prompting. AI responds to questions, but it does not determine what should be asked. The discipline of identifying and articulating a legal issue remains a critical skill.
• Draft first, then compare. Try outlining arguments or drafting clauses before using AI as a refinement or comparison tool.
• Treat AI outputs as provisional. AI drafts are starting points, not answers. Always verify authorities and challenge its logic and relevance.
• Use AI to explain, not decide. AI can assist with explanation and case summaries, but decision-making and evaluation remain human responsibilities.

AI should accelerate learning, not replace it. Relying on it too early is likely to deliver short-term efficiency at the expense of long-term skill development.

Mid-Level Lawyers: Efficiency With Accountability

Mid-level lawyers are often under pressure to deliver efficiently while managing increasing complexity. AI can be a valuable support, but its use also highlights the boundary between efficiency and professional judgment.

One way to think about this is the distinction between instructions and prompts. Clients give instructions, and lawyers respond by interpreting, challenging, contextualising, and advising. AI, in contrast, responds only to the prompts it is given.

Consider the following when using AI tools:

• Use AI for preliminary work, not final advice. Summaries, issue-spotting, and initial drafts by AI tools are helpful provided they are rigorously reviewed.
• Apply judgment, not automation. AI cannot assess materiality, commercial context, or ethical implications. That responsibility remains with the lawyer.
• Manage confidentiality risks. Do not input sensitive client data into public or unapproved tools. Use only firm-sanctioned AI tools with appropriate safeguards.
• Shaping good habits for juniors. How mid-level lawyers use AI often influences how juniors approach it.

Used judiciously, AI can free up time for deeper analysis and higher-quality advice.

Senior Lawyers: Leadership, Oversight, and Culture

For senior lawyers and partners, use of AI tools shifts from individual productivity to collective impact. How AI is adopted within teams and the firm will influence not only efficiency, but also training, standards, and client outcomes.

Consider the following

• Set clear expectations. Define when AI may be used, for what purposes, and with what safeguards.
• Preserve skill development. Ensure juniors still engage in work that builds reasoning, judgment, and advocacy skills.
• Use AI strategically. AI tools are helpful in trend analysis, horizon scanning, and scenario planning, but conclusions must still be drawn by humans.
• Invest in capability, not just tools. Training, governance, and ethical guidance are as important as the technology itself.

Leadership in AI adoption is less about enthusiasm for innovation and more about balance, oversight, and professional responsibility.

Principles That Apply at Every Level

Across all stages of practice, these principles apply:

1. AI augments thinking, it does not replace it.
2. Lawyers remain accountable for advice, accuracy, and ethics.
3. Confidentiality is non-negotiable.
4. Being transparent about AI use fosters trust and accountability.
5. AI literacy is essential.

Conclusion

AI will continue to change how legal work is done. Some tasks will evolve, others may diminish in importance. What remains constant are the elements that define legal practice: judgment, reasoning, ethics, and trust.

The real risk is not that AI will replace lawyers, but that lawyers may gradually disengage from the critical thinking processes that give their work value.

Used thoughtfully, AI can help the profession work smarter, serve clients better, and focus on higher-value judgment. Used poorly, it risks eroding skill, accountability, and trust. The difference lies not in the tool itself, but in how thoughtfully and responsibly it is integrated into legal practice.