Artificial Intelligence

I’ve been meaning to review GC.AI for some time but never got around to it. In retrospect, I’m glad I waited, as I’m confident the tool has improved even more over the past few months. There’s so much to like about GC.AI that this review only scratches the surface.

Accessibility & Pricing

What immediately impressed

Over the course of this three-part video series, I set out to train a custom AI agent (“project GPT”) to generate and respond to discovery requests under the Federal Rules of Civil Procedure and the Local Rules for the District of Maryland. My goal was to give the AI both procedural know-how and factual documents

As a practicing attorney, I’ve been doing legal research for decades, starting with traditional platforms like Westlaw and Lexis, which I learned in law school and used throughout my early years in practice. But recently, I set out to compare those tools to something newer—ChatGPT’s Deep Research feature—in the context of an actual case I’m

Abstract

This article explores the legal and ethical considerations lawyers must address when creating custom versions of ChatGPT for public use. It discusses the potential applications of these tools, such as educating clients on legal matters or providing preliminary advice to landlords. The article outlines key ethical requirements, including AI disclosure, supervision, attorney-client relationship, confidentiality,

The legal field is undergoing a tech revolution, and AI is at the forefront. That’s why I created  “Frequently Asked Questions and Suggested Best Practices Related to Generative Artificial Intelligence in the Legal Profession”.

This resource addresses critical AI topics like copyright issues, client privacy, ethical use, and more. It’s an essential read for any

Abstract (prepared with ChatGPT 4):

The rise of artificial intelligence (AI) and a surge in online meetings has made it increasingly common for attorneys to record and transcribe client conversations. While AI-transcription can offer benefits such as accuracy, efficiency, and transparency, concerns around confidentiality, privacy, and ethics are also raised.

AI-driven transcriptions capture details that