Generative and predictive artificial intelligence tools have moved from novelty to infrastructure in the practice of law in the space of three years. Lawyers now encounter AI in legal research platforms, document drafting assistants, contract lifecycle management systems, e-discovery review tools, and client-facing marketing and intake technology. Each use case carries its own professional-responsibility profile, and New York's regulatory posture — a mix of a comprehensive 2024 bar task-force report, targeted ethics opinions, individual judicial standing orders, and pending legislation — is still being written in real time. This program gives practitioners a working technical vocabulary for generative AI, a survey of the software actually in use in New York practices, and a rule-by-rule walk through the New York Rules of Professional Conduct as they apply to AI-assisted research, drafting, contract work, and advertising. The program is designed for litigators, transactional attorneys, in-house counsel, and firm management, and assumes no technical background. Learning Objectives At the conclusion of this program, participants will be able to: 1. Explain, in terms usable with clients and partners, how large language models generate text, why they “hallucinate,” and why retrieval-augmented, citation-checked tools behave differently from general-purpose chatbots. 2. Identify the principal categories of AI legal software in use for research, drafting, contract management, and e-discovery, and describe what each category of tool does and does not do. 3. Apply New York Rules of Professional Conduct 1.1, 1.4, 1.5, 1.6, 3.3, 5.1, 5.3, and 5.5 to specific AI use scenarios, including citation verification, vendor data handling, client disclosure, billing, and supervision of subordinate attorneys and nonlawyer staff. 4. Apply Rule 7.1 and related advertising rules to AI-generated marketing content and AI-driven client intake chatbots, and describe the Federal Trade Commission's recent “AI-washing” enforcement activity as it bears on how lawyers may describe their own use of AI to prospective clients. 5. Draft or evaluate a firm AI-use policy addressing tool approval, vendor due diligence, verification protocols, and disclosure practice.