AI in Law & Legal Tech Expert Nicole L. Black frames how AI is changing how legal work gets done, and the effects aren’t limited to law offices. Other legal organizations are equally impacted, including the courts. As judicial offices around the country grapple with the how and why of secure AI adoption, new rules, policies, and processes are being implemented to address the ethical and practical issues presented.
Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Five highlights from this week: Frustrated Job Seekers Are Trying to Manipulate AI; ChatGPT Is Wrecking Real-Life Marriages – Couples use AI to argue, vent, and even divorce; Is the AI bubble about to pop? Ed Zitron weighs in; Layoffs, reassignments further deplete Cybersecurity and Infrastructure Security Agency (CISA); and Satellites Are Leaking the World’s Secrets: Calls, Texts, Military and Corporate Data.
Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Five highlights from this week: People are poorly equipped to detect AI-powered voice clones; Meta [Facebook, Instagram] is preparing another way to show you targeted ads and you can’t opt out; Gmail stopped loading hidden trackers when I changed this one setting; Opt Out October: Daily Tips to Protect Your Privacy and Security; and Employees regularly paste company secrets into ChatGPT.
Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Five highlights from this week: Meta Will Start Using Your AI Chats to Target Ads at You; Chatbots Are Trapping Us With Endless Engagement Prompts; How to deactivate AI on your Android phone; Apple, Google Remove ICE Tracking Apps; and Tile Tracking Tags Can Be Exploited by Tech-Savvy Stalkers, Researchers Say.
Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Four highlights from this week: 48% of Cybersecurity Bosses Failed to Report a Breach This Year; LinkedIn will use your data to train their AI starting Nov 3; Reuters Asked AI Bots to Scam the Elderly. They Obliged; and This is the fastest way to tell if a photo is AI-generated.
Stephen Embry writes about how much we might be losing when we let AI sanitize our word choices: the difference between good and memorable often comes down to a single word. For lawyers especially, professionals whose job is communication and persuasion, completely ceding editorial judgment to algorithms that prioritize blandness over impact is a mistake. Embry states – Words matter. Don’t let robots choose yours.
With ChatGPT, law-school instructor Sean Harrington is rebuilding student assessment for the AI era. Sean—who teaches students AI and law at the University of Oklahoma and holds both a JD and an MS in Data Analytics—saw a core problem the moment generative AI went mainstream: traditional take-home exams no longer reveal what students really know.
Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Five highlights from this week: NIST says that there are three main ways to sanitize data; Google misled users about their privacy and now owes them $425m, says court; USAi tool lets agencies test for AI biases, GSA official says; FBI warns of cybercriminals using fake FBI crime reporting portals; and Morgan Stanley fined $35m after hard drives sold with customer info still on them.
Jordan Furlong contends right now it’s possible for an ordinary person to obtain from an LLM like ChatGPT-5 the performance of a legal task — the provision of legal analysis, the production of a legal instrument, the delivery of legal advice — that previously could only be acquired from a human lawyer. He further states he’s not saying a person should do that. The LLM’s output might be effective and reliable, or it might prove disastrously off-base. But many people are already using LLMs in this way, and in the absence of other accessible options for legal assistance, they will continue to do so. Furlong offers insights into the challenges such a paradigm shift pose as well as the consequences of not meeting the moment as the velocity of AI’s adoption permeates the legal profession.
This paper by Dennis Kennedy introduces a systematic methodology for transforming generic Large Language Models into specialized, persistent AI advisors and helpers through structured protocol frameworks and collaborative development processes, enabling reliable human-AI collaboration for complex decision-making across professional and personal domains. Large Language Models consistently underperform as specialized advisors due to context drift, personality inconsistency, and inability to prioritize curated knowledge sources. This paper introduces the Operational Protocol Method, a systematic approach for LLM specialization and assistance through structured persona engineering and collaborative development processes. The method transforms generic LLMs into reliable subject matter expert advisors while enabling coordinated multi-agent systems that maintain expertise boundaries across complex advisory tasks. Case studies in personal finance and note-taking demonstrate the method’s practical effectiveness and versatility across domains.