Signing PDFs with certificates is a pain. Some folks still want certificate signed PDFs rather than docusign/etc. Only decent option is basically the Adobe bloatware. Or a bunch of CLI scripts. I vibecoded a native macos app real quick that does it. Dead simple but works. You draw a square on the pdf, pick your certificate from the keychain and click sign. Done.
https://t.co/CZvgKHp6nA
The companies who actually move the needle don't ask "how do we make our people faster?"
They ask "which work in this organisation doesn't need a person at all — and what would it take to route it directly to AI, end to end?"
That question is where the next 18 months of real ROI lives.
Why is 95% of enterprise GenAI showing no ROI?
Not because the models are bad.
Because companies bought AI as a productivity tool for individuals, then waited for the org-level result to appear on its own.
It doesn't.
Individual productivity is the easy half. Anyone can buy it.
Organisational transformation is the hard half. It requires:
- Codifying the policies and decisions that today live in people's heads
- Building systems that run those policies without a human in the loop
- Governance that scales with adoption, not against it
That is real work. Nobody's licence agreement does it for you.
Enterprises spent $30–40B on generative AI.
95% saw no measurable ROI.
That's not because AI is hype. It's because handing every employee a chatbot is not the same thing as redesigning the organisation around AI.
One is a benefits package. The other is the work.
You gave legal a copilot. They draft up to 15 hours faster a week.
Sales still says "legal is slow."
Because the goal was never individual productivity. It's organisation-level automation — and a probabilistic chatbot is the wrong tool for a non-lawyer end user.
Does anyone understand what Claude's usage limits are, how much usage is included, how it is calculated, and how much excess usage costs? :) Asking for a friend.
You seem pessimistic. Do you think we will implement other "business friendly" measures from America? Such as tax filings in multiple states just if you have one emoloyee or a warehouse there? Or here's an idea! In the EU we have one GDPR and one AI act. In the usa, they have 20 slightly different "gdprs" and 3 "ai acts". Maybe we should also try to have many acts governing the same question to be more competitive. We're really pathetic with a single one.
That gap has been legally required in every U.S. public restroom since 1955. It solves four problems simultaneously.
The official name is the "open-front toilet seat." The American Standard National Plumbing Code mandated it seven decades ago. California's state plumbing code still reads: "all water closet seats, except those within dwelling units, shall be of the open front type." Install a closed seat in a commercial bathroom and you can get cited.
The primary function is contact elimination. A closed oval seat creates a continuous surface where skin presses against plastic that thousands of strangers have already sat on. Removing the front section eliminates that contact zone entirely. Fewer shared square inches, fewer bacterial transfer points between users.
Second is wiping clearance. The IAPMO, the organization that writes the plumbing codes most U.S. states adopt as law, designed the opening so women can wipe without their hand contacting the seat surface. The gap is sized for a hand to pass through cleanly.
The open front also eliminates the surface where urine pools at the front of the seat, so the next user sits on dry plastic instead of someone else's miss.
One more layer. Public restrooms use elongated bowls while home toilets are typically round. A stolen U-shaped seat from a restaurant won't fit a residential toilet. The shape mismatch makes it worthless to take home.
Seven decades of sanitation engineering in a gap most people assumed was a manufacturing shortcut.
You're spot on. The way it works pre-ai is that the partner remembers from the top of his/her mind which case was similar, and recycles solution from that case. Recycling is mostly done by associates. In the ai-era, the partner imports that old and new case and instructs air to recycle the old one.
@biglawbro Converting real cases into standardised workflows is trickier than it sounds. There are potentially ydo many factual varieties of each case that are hard to encompass in a standardised flow.
While the space is busy discussing Harvey and Mike, Gabriel Macht and Jude Law, and Copilot Legal Agent - we build a new Blueprint for @arna_ai every week.
Which Blueprint should be next?