There’s lots of big talk about the best approach to improving access to justice for self-represented litigants. Dennis Kennedy is not big on theory and bloviation. His most recent article on this topic is available for free republishing in favor of cheap, practical, and effective approaches.
Dennis ran several prompts below through Gemini, with good
AI founders seem to have a never-ending list of reasons–and hyperventilated pitch decks–explaining why their financial losses don’t matter. Some are hopeful, some are delusional, and some are just echoes of arguments that would-be billionaires floated in the dot-com era—updated with better graphic design. Here are some of the most common explanations, along with brief
The headlines are alarming. Reports detail patients being harmed, misled, or outright failed by popular AI apps. Stories like these are emotionally charged, and my preliminary assessment of the seven high-profile cases recently documented by Information Age is that at least some may have genuine merit.
It’s easy to read about a chatbot giving harmful advice and immediately conclude
The relentless, frenetic excitement surrounding Artificial Intelligence feels familiar. For anyone who remembers the turn of the millennium, it’s a clear echo of the dot-com bubble, a time of speculation about a new technology completely detached from business fundamentals.
Back then, optimism for an internet-driven economy sent stock prices for companies like AOL to astronomical
We’re all busy, right? I get it. It’s all about knowing what to prioritize.
If you want (or need) thoughtful analysis of AI developments, MIT Sloan Management Review is one of the best places to invest a little time. A case in point: their October 7 article titled, “Cut Through GenAI Confusion: Eight Definitive Reads.”
ABA Formal Opinion 512 provides welcome guidance on ethical obligations for lawyers, demanding competence in understanding AI’s benefits and risks (Model Rule 1.1), diligence in protecting client confidentiality (Model Rule 1.6), clarity in client communications (Model Rule 1.4), candor toward tribunals (Model Rule 3.3), effective supervision of AI use (Model Rules 5.1, 5.3), and reasonableness
Anna Guo reports on a study comparing the performance of lawyers and AI apps. Key takeaways:
1. Several AI tools matched, and in some cases outperformed, lawyers in producing reliable first drafts.
2. The top AI (Gemini 2.5 Pro) marginally outperformed the top individual human lawyer: 73.3% vs. 70% reliability rate.
3. Specialized legal
There’s a significant debate on how soon computers may achieve artificial general intelligence. The AlphaZero Project–which led one of its leaders to receive the Nobel Prize for Chemistry–is an important data point in the discussion. Here’s the intro to my article at LLRX.com.
Will computers ever achieve the holy grail of artificial general intelligence
My review of the new book, The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want (Harper 2025), by Emily M. Bender and Alex Hanna, is available at LLRX.com.
It’s the first negative book review I have written since I began writing reviews for The Federal Lawyer back in 1995. My
AI in the legal world is not a sentient being. It doesn’t argue cases, it doesn’t replace lawyers, and it certainly doesn’t understand the law in the way the best lawyers can.
What it can do is process large amounts of text quickly and find patterns in ways that mimic certain kinds of legal work—especially the repetitive