HUMANIKRONThe New York State Bar held a specialised conference dedicated to the challenges and opportunities of adopting artificial intelligence in legal practice. The participants focused mainly on ethics, regulation and the transformation of lawyers' traditional working methods under the influence of new technologies.
My take: For developers and business this case signals the formation of a powerful LegalTech market, where the main client demand is no longer just a "smart chatbot" but a reliable tool with a high level of accuracy. In the legal field AI mistakes can have critical consequences, so building products for such conservative niches requires complex architectural solutions like RAG (Retrieval-Augmented Generation) over closed databases and strict verification protocols. I plan to use this trend to develop internal standards at HUMANiKRON: we must focus on systems where transparency of the algorithms and control over the source data are a priority. For business it means the ability to scale by automating routine document analysis, but only on condition of full regulatory compliance and minimised hallucination risk at the critical nodes of the system.
Source: McDermott Will & Schulte. Original →