victor
1.4K posts
victor
@stokebuilder
ceo (@kaiberai) lawyer (ex-@goodwinlaw, @orrick)
Today, we’re introducing Spicy Mode in Spellbook. It points out contract issues with zero diplomatic filter: roasting lopsided terms, complaining about vague drafting, and giving commentary you should never send to opposing counsel. Available for one day only (yes, really).
Something about young lawyers and alcoholism. A very common latest disease that's destroying the profession.
Law Twitter is Back Please like if you are a lawyer or into legal/legaltech on here, so that I can follow you. Need more of this on my feed!
🚨 BREAKING: Claude can now write legal contracts like NDAs, freelance agreements, and LLC paperwork better than $800/hour corporate lawyers. Here are 12 prompts that replace $15,000 in legal bills: (Save this before it disappears)
bro, it's so over for designers google stitch is insane. 🤯
New @ThePeelPod with @scottastevenson We talk building @SpellbookLegal into the fastest growing AI company in Canada, and likely the largest company ever built on a Microsoft Word plugin. Thanks @FlexSuperApp for sponsoring this episode! Timestamps 0:30 "Cursor for Lawyers” 3:08 Building the world’s largest Microsoft Word plugin 14:06 Why legal software was untouched before LLMs 18:32 $30 trillion moves through contracts annually 20:51 Why ChatGPT won’t replace vertical tools 25:15 Fine-tuning was the biggest mistake in AI 30:00 Differences between pro and amateur gamers 37:38 Top-down vs. bottoms-up in legal AI 42:27 The long-tail of legal AI software 47:24 Building for models that don’t exist yet 51:20 Skating where the puck is going 1:01:35 The legal bill that cost 50% of his bank account 1:09:33 Testing 100 landing pages in 3 years 1:14:06 The moment Spellbook hit PMF 1:19:17 Building new brands for each product experiment 1:23:10 Raising a Series B with a tweet 1:27:41 What Scott learned from Keith Rabois 1:31:16 Scott's favorite new AI tool
prediction re the end of spreadsheets AI code gen means that anything that is currently modeled as a spreadsheet is better modeled in code. You get all the advantages of software - libraries, open source, AI, all the complexity and expressiveness. think about what spreadsheets actually are: they're business logic that's trapped in a grid. Pricing models, financial forecasts, inventory trackers, marketing attribution - these are all fundamentally *programs* that we've been writing in the worst possible IDE. No version control, no testing, no modularity. Just a fragile web of cell references that breaks when someone inserts a row. The only reason spreadsheets won is that the barrier to writing real software was too high. A finance analyst could learn =VLOOKUP in an afternoon but couldn't learn Python in a month. AI code gen flips that equation completely. Now the same analyst describes what they want in plain English, and gets a real application - with a database, a UI, error handling, the works. The marginal effort to go from "spreadsheet" to "software" just collapsed to near zero. this is a massive unlock. There are ~1 billion spreadsheet users worldwide. Most of them are building janky software without realizing it. When even 10% of those use cases migrate to actual code, you get an explosion of new micro-applications that look nothing like traditional software. Internal tools that used to live in a shared Google Sheet now become real products. The "shadow IT" spreadsheet that runs half the company's operations finally gets proper infrastructure. The interesting second-order effect: the spreadsheet was the great equalizer that let non-technical people build things. AI code gen is the *next* great equalizer, but the ceiling is 100x higher. We're about to see what happens when a billion knowledge workers can build real software.
