An investigation into why serious AI work depends less on clever prompts and more on defending invariants, boundaries, and human judgment.At the end of a long, technical AI session this week, something became clear to me: human-in-the-loop is being misunderstood in ways that matter.The issue wasn’t whether the system could generate outputs quickly or
Calling it “the industry’s first scaled agentic AI tool for fact investigation and e-discovery,” DISCO today announced an agentic AI enhancement to its Cecilia Q&A tool, which the company says is designed to handle large-scale e-discovery matters with millions of documents and terabytes of data. The Austin-based legal technology company’s new tool adds what it
A fresh Anthropic announcement set off a week of market jitters and existential questions: what happens when the big model shops ship “legal productivity” features and the public markets flinch. This week, we bring Otto von Zastrow back for a rapid-response conversation, with a front-row view from New York and a blunt take: software grows cheaper to reproduce, so value migrates. The discussion lands on a key distinction, interface versus data, and why the old guard still holds leverage even as new entrants sprint.
From there, the conversation zooms in on “systems of record” and the uneasy truth that the safest vault often loses mindshare when a new interface sits on top. Otto points to email, calendar, SharePoint, DMS platforms, and the growing power of a single chat workspace to become the place where work happens. The hosts press on a critical nuance for lawyers: legal research data is not flat, and “good law” demands hierarchy, treatment, and reliable citation context, not a pile of cases plus vibes.
Otto frames Midpage.ai as a data company first, built on continuous court ingestion plus normalization that used to demand armies of editors. He argues AI turns messy inputs into structured repositories at a scale that favors speed and breadth, yet accuracy still requires process design and verification loops. Greg sharpens the point for litigators: the bar is not clever answers, the bar is defensible citations, negative treatment, and confidence that the record matches reality. Otto agrees on the need for trust, then flips the lens: many annotation tasks look like grind work where modern models, paired with strong QA, start to outperform large manual pipelines.
The headline feature is integration via Model Context Protocol, described as a USB-C style connector for tools and models. Midpage chose distribution inside Claude and ChatGPT rather than forcing lawyers into yet another standalone site. Otto explains the wager: lawyers want fewer surfaces, and general chat platforms ship features at a pace no niche vendor matches alone, so the smart move is to meet users where daily work already lives. The demo story centers on research inside chat, with Midpage returning real case links and citations, then letting the user push deeper with uploads and follow-on tasks, while keeping verification one click away.
The back half turns to second-order effects: pricing, agent spend, and the rise of “vibe” work where professionals act more like managers of agent teams than sole authors of first drafts. Marlene raises governance and liability when internal DIY tools pop up outside formal review, and Otto predicts a pendulum toward professionalized deployment plus change management. The conversation closes on Midpage’s “holy grail” topic, citators and the case relationship graph, plus a clear-eyed forecast: standalone research websites shrink as a primary workspace, while research becomes groundwork performed by agents, with lawyers spending more time interrogating results than running searches.
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[Special Thanks to Legal Technology Hub for their sponsoring this episode.]
Email: geekinreviewpodcast@gmail.com
Music: Jerry David DeCicca
Transcript
The Big Takeaways
Email remains one of the most effective ways for law firms to stay connected with clients. It allows you to educate, build trust, and stay top of mind long after an initial consultation. Yet many law firm emails go unread, are deleted within seconds, or are lost in crowded inboxes.
If your emails aren’t getting
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Editor’s Note: Autonomous, agentic AI is moving from “helpful tool” to full participant in national defense—and the 3rd Edition of the Guide to Developing a National Cybersecurity Strategy (released late 2025 by the ITU and World Bank) is one of the clearest signals yet that governments now expect measurable, outcome-based cyber resilience, not checkbox compliance.
We are witnessing a quiet but profound shift in how we interact with machine intelligence. For years, the paradigm has been transactional: we prompt, the model replies. We wait. We prompt again. But the friction of that loop is dissolving.
I’ve been spending time with OpenClaw, a piece of technology that represents the next logical
You produce your client’s documents to the other side during discovery. But how confident are you that opposing counsel won’t end up feeding your sensitive documents into ChatGPT or a similar LLM? With AI agents proliferating and integration everywhere, post-production document security has become the potentially problematic. We can control our own shop, but once
Editor’s Note: Prompt marketing is pushing thought leadership past polished conclusions and into something more useful: giving audiences the tools to do the work themselves. Originally published on Forbes Communications Council, this piece argues that in an AI-saturated market, credibility no longer comes from publishing the “right” take—it comes from showing the structured thinking
Editor’s Note: Europe’s DSA enforcement is widening from content moderation into product design—and TikTok is now the test case. The Commission’s preliminary view treats infinite scroll, autoplay, push notifications, and highly personalized recommendations as potential systemic risks that must be assessed, mitigated, and proven with documentation. For cybersecurity, information governance, and eDiscovery teams, the implications
As I wrote earlier this week, it was the shot heard ’round the world, as AI company Anthropic, developer of Claude, launched a legal app and seemingly caused legal tech stocks to plummet. Meanwhile, AI agents now have their own social network, Moltbook, while another new site is enabling them to rent humans to do
The Big Takeaways
2025 Partner Impact Award winners
Each winner exemplifies what it means to be a top-producing partner and trusted advisor within the Clio partner ecosystem. Awards are organized by region, North America and International, to reflect the global reach of the Clio partner ecosystem and the unique ways partners support firms in different markets.
CPN Legal
Davos, Switzerland: Axios House
With all the pitches one expects to hear amidst the rarefied air of Davos, a business plan from Jason Bourne probably isn’t one of them. Yet, there on stage was Matt Damon, alongside his co-founder Gary White, not to promote a film, but to deconstruct a global crisis with the precision
The Masters Conference, which just two months ago announced new leadership and plans to launch a new division, Masters AI Legal, today announced that it has partnered with Cat Casey, founder of The TechnoCat, a consulting and speaking practice focused on legal AI, and former chief growth officer at Reveal. Casey will anchor Masters AI