Computerworld.com reported that “Google this week announced the public rollout of a beta Gemini feature called Personal Intelligence. It gives Gemini access to your Gmail, Google Photos, YouTube, and Google Search data, if you grant permission, which you can do individually (for example, you can grant permission for YouTube access but not Gmail).” The
Editor’s Note: Age verification is no longer a checkbox—it’s a regulatory battleground shaping the future of digital governance. TikTok’s deployment of AI-powered age detection across Europe signals a defining shift in how platforms must operationalize regulatory expectations under the Digital Services Act and GDPR. For professionals in cybersecurity, data privacy, compliance, and eDiscovery, the implications
Editor’s Note: Criminal accountability for AI developers is no longer theoretical. A landmark ruling from the Xuhui District People’s Court in Shanghai makes clear that those who configure AI systems to bypass ethical safeguards and produce harmful content can be held legally responsible. In sentencing the developers of the Alien Chat application, the court shifted
This week’s kitchen sink for January 16, 2026 (with meme from Gates Dogfish) discusses Dr. Phil & allegations of deleted texts, who’s winning and losing the AI race, the musical Tilly Norwood & more!
The post The Kitchen Sink for January 16, 2026: Legal Tech Trends appeared first on eDiscovery Today by Doug Austin.
Editor’s Note: Small Language Models (SLMs) are quietly redefining how enterprises safeguard sensitive data in an AI-driven world. For cybersecurity, regulatory compliance, and eDiscovery professionals, this shift represents more than a technological update—it marks a strategic turning point. As organizations grow wary of exposing proprietary information to cloud-based giants, a compelling alternative is emerging: deployable,
SCWorld.com reported that “The National Institute of Standards and Technology (NIST) in collaboration with the MITRE Corporation announced late last month that it’s investing $20 million to establish two AI Economic Security Centers.” The January 13, 2026 article entitled “What AI forces us to confront in OT and critical infrastructure” (https://tinyurl.com/bp99apwa) included
AI-powered document review is everywhere right now, but the matters that run smoothly are not “AI-only.” The best results come from a clear division of labor: AI engines will handle scale and pattern-finding, while people handle judgment, context, and defensibility. 1. Start with a Human Map of the Case Before AI Touches the Data A
AI is already reshaping eDiscovery review, whether a team calls it “AI” or not. Discovery is no longer a tidy set of emails and PDFs. Today’s evidence is often found inside Slack and Teams threads, mobile messages, cloud drives, audit logs, and hyperlinked “modern attachments.” The real issue for litigators is how to use AI
Editor’s Note: Autonomous weapons systems are no longer a distant concept—they are operational, data-intensive, and legally complex, presenting immediate challenges for compliance, cybersecurity, and legal professionals. As Europe accelerates its AI-driven defense initiatives, the evidence and data trails generated by these systems are becoming central to regulatory scrutiny, litigation risk, and ethical debate. This article
The NewYorkTimes.com reported that “After a nearly yearlong delay to its efforts to compete in artificial intelligence, Apple said on Monday that it planned to base its A.I. products on technology developed by Google.” The January 12, 2026 article entitled “Apple Teams Up With Google for A.I. in Its Products” (https://www.nytimes.com/2026/01/12/technology/apple-google-ai-partnership.html) included these