Course Description
*Not available for credit in Tennessee
This CLE training, “AI for Attorneys: Work Smarter, Bill Better, Sleep More,” is a practical, lawyer-first walkthrough of how modern AI can immediately improve legal workflows without compromising professional responsibility. It starts by demystifying core AI concepts (context windows, reasoning vs. non-reasoning models, hallucinations) and then compares the leading platforms—ChatGPT, Claude, and Gemini—through the lens of real law-firm use. It includes clear guidance on privacy and data protection across consumer, team, and enterprise plans, plus live, ready-to-copy use cases (e.g., bankruptcy chapter analysis tools, DVRO petition drafting, trial brief generation, discovery/document summarization, translation from images). The session closes with proven prompting frameworks (including RTDF) and a blunt malpractice-minded rule: AI doesn’t have a bar number—you do—so human review must happen after the final AI output before anything goes to court or a client.
Principles
- Core AI Concepts Every Law Firm Leader Should Understand
- Comparing Leading Platforms: ChatGPT, Claude, and Gemini
- Privacy and Data Protection Across Consumer, Team, and Enterprise Plans
- Practical Use Case and Live Demonstrations for Immediate Implementation
- Proven Prompting Frameworks for Reliable, High-Quality Results
Syllabus
- What AI is (in practical terms), how it “remembers” what you tell it, the difference between basic and more advanced reasoning models, and why AI sometimes makes things up
- How the major tools compare—ChatGPT, Claude, and Gemini—and what each is best suited for in a law-firm workflow
- Privacy and confidentiality basics, including what changes across free, paid, team, and enterprise setups and what not to share
- Real legal use cases and demos: summarizing documents, drafting and improving pleadings/briefs, translating and extracting info from images or PDFs, organizing discovery, and turning messy facts into usable timelines or narratives
- Prompting skills that make AI outputs reliable: how to ask better questions, specify format and constraints, and build repeatable templates—plus the core rule that a lawyer must review and verify everything before it goes to a client or a court
