HUMANIKRONI read the update from the New York State Bar Association on the Part 161 rules, which officially address the challenges and opportunities of using artificial intelligence (AI) and generative models in legal practice. The document focuses on the critical aspects: protecting the confidentiality of client information, minimising the risk of AI "hallucinations" and the mandatory verification of generated content by attorneys to preserve professional ethics.
My take: For developers in LegalTech and other critical fields this case is an important precedent for shaping security standards. It means that successful integration of AI into business processes requires not just plugging in powerful models, but building specialised "filters" and architectural solutions to control accuracy. In my own practice I will use this experience as a basis for building systems with strict data control (Data Isolation) and "Human-in-the-loop" mechanisms. At HUMANiKRON we must focus on tools where AI serves as an assistant under the strict supervision of algorithmic checks, ensuring the legal cleanliness and technical reliability of every operation. This is a direct path to building products that withstand regulators' demands and build user trust in conservative niches.
Source: New York State Bar Association. Original →