AI for Legal Practice is a practical guide for lawyers, law students, legal educators, and legal professionals who want to understand what AI tools can do, where they fail, and how to use them responsibly in real legal work. The book covers the full lifecycle of AI-assisted legal practice, from understanding how generative AI actually works and where it fails, to prompt engineering, research, drafting, redlining, litigation, discovery, client communication, intake, practice management, and governance. It introduces the Prompt Blueprint framework for building reliable legal prompts and includes more than 100 ready-to-use prompts organized by task type. Grounded in ABA Formal Opinion 512 and Model Rules 1.1, 1.6, 3.3, 5.1, and 5.3, the book addresses competence, supervision, confidentiality, client disclosure, court certification requirements, data classification, HIPAA considerations, privilege protection, and AI governance and regulation. Each chapter includes concrete examples, named frameworks, and a hands-on Mini-Lab. Seven appendices and a companion resource site provide checklists, templates, scorecards, workflow logs, tool cards, and a 124-term glossary. This is not a book about AI hype or abstract theory. It is a working guide for real legal practice that shows not only how to use AI tools, but how to do so without losing judgment, credibility, or control.