Lawyers Urged to Harness AI Responsibly, Preserve Human Judgment in Legal Practice

February 28, 2026
Lawyers Urged to Harness AI Responsibly, Preserve Human Judgment in Legal Practice
  • During MN Law University’s 4th convocation in Nagpur, the speaker urged lawyers to build technology skills and use AI as an assistive tool to save time, not as a replacement for human judgment.

  • The speeches reinforce a judicial view that AI should be used responsibly, with safeguards to preserve essential human competencies in legal practice.

  • AI can save time but cannot judge, counsel, or replace fundamental human tasks, and overreliance on AI-generated citations can harm clients and breach professional integrity.

  • Clear boundaries were set: AI can retrieve and draft, but cannot counsel, warranting careful human verification of all AI-produced documents.

  • Attendees stressed understanding how AI tools work—prompt engineering, evaluating outputs, and spotting hallucinations—to ensure human oversight.

  • AI should be used with skill and caution, and no AI-created document should pass a lawyer’s hands without thorough human authentication; humans must retain control over reasoning and ethics.

  • The speakers called for a balance between embracing innovation and preserving core intellectual functions in the legal profession.

  • AI can save time but cannot match a trained legal mind and must operate under human oversight.

  • AI’s probabilistic nature means it can retrieve or draft but cannot counsel or judge, underscoring the need for human judgment.

  • Several speakers affirmed that AI cannot replace core legal functions or the trained mind, emphasizing human judgment, empathy, and accountability.

  • Technology should serve the legal profession, not master it, with AI’s efficiency acknowledged but the essence of law rooted in human intellect.

  • Participants urged lawyers to master AI fundamentals, critically evaluate outputs, and beware false citations and AI hallucinatory errors to prevent client harm.

Summary based on 4 sources


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