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victor
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victor
@stokebuilder
ceo (@kaiberai) lawyer (ex-@goodwinlaw, @orrick)
Katılım Kasım 2017
316 Takip Edilen1.9K Takipçiler
My first call with @emilyzsh was at 1am. The 10 min call lasted for almost an hour.
I had never met somebody who thought so deeply about how the right products change entire markets. She laid this out for legal.
It was a better articulation of our vision than I could offer.
We made her an offer 4 days later 🚀
John Sarihan@jsarihan
So excited to welcome @emilyzsh to Crosby! One of the most important lessons I learned at Ramp is to hire people for slope. As I got to know Emily, it became clear to me that she hones her craft at an exceptional clip. As one reference put it, "her rate of learning is basically vertical.” Coming from A24 Labs and Long Lake, Emily brings a sharp aesthetic sense and an ability to bridge the gap between “what the code does” and “how the customer actually feels” that is both rare and critical to building exceptional experiences.
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Worst subscriptions you're still paying for:
[Lawyer's edition - 2026]
Acceptable
• Claude Pro ($20/mo)
• Microsoft 365
• LawPay
• Adobe Acrobat
• Calendly
Average
• Clio Manage
• Westlaw Solo
• QuickBooks Online
• LinkedIn Premium
• Loom
Regrettable ↓↓
• The $2,500/mo marketing agency posting generic LLC carousels
• The answering service at $300/mo. Used twice this year.
• Any legal AI tool that's a $200/mo wrapper on a $20 Claude account
• The practice management software you migrated from in 2023. Still active.
• That CLE platform you signed up for once. Last login: 2024.
Which one's in YOUR Regrettable tier?
Be honest. I won't tell your firm.
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Fake as fuck alert. @Accel how deep did you go into these revenue numbers
Fryd Wiatrowski@frydwia
Today, we’re announcing Viktor’s $75M Series A, led by @Accel . @viktor__com was supposed to be a small experiment. It became the AI coworker 10x'ing real businesses. $15M in annualized revenue run rate. In 10 weeks. – Small companies saving millions of dollars – Sourcing hundreds of thousands in new revenue in their first 30 days – Whole teams getting half their week back – Companies running 40% leaner without cutting output Viktor is not another AI tool. It’s the first true AI employee. The vision that has been with us since 2023 when we started the company has finally been shipped. Back then, it was just the two of us, with a very small but dedicated team, iterating for years. Failing multiple times. Showing products that users didn't even want to test! But we never gave up. Our decisions were often wrong. Certainly more often than not! We kept trying. Now we’ve shipped something people love. Worth every sleepless night. Every sacrifice. The best employees don’t need to be told what to do. Neither does Viktor. Grateful to @Accel, our team, our earliest users, and everyone who believed this category could be bigger than chat.
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Missionaries beat mercenaries.
the @Accel partner, reached out to me while he was signing a $75M investment into a direct competitor. Asked for our numbers. Forgot to mention his.
Fake-it-till-you-make-it rarely ends well
Daniel@growing_daniel
Fake as fuck alert. @Accel how deep did you go into these revenue numbers
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@biglawbro good manager and good prompter likely has a very large venn diagram crossover.
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@rwalk_xyz so what happens when normie law firms adopt agentic frameworks, what's the narrative for the next raise?
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AI-first law firms are not trying to make lawyers obsolete. They are trying to make “we’ll get back to you next week” obsolete.
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Call me old fashioned, but I think society is better when we gatekeep who can have influence by whether or not you’ve read a certain amount of good books.
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wow i just had codex analyze 3 years worth of text messages... i had it use direct quotes in its analysis and it brought me to tears.
if you have mac you can just ask codex to do this.
you will need to give it permissions
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@scottastevenson This is a bigger pandemic than people realize. LLMs amplify the illusion of productivity.
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Your brain would much rather the satisfactory dopamine of "organizing" things than doing hard ambiguous work. So don't give it that out.
Dump your notes into one flat list.
Don't use email folders.
Close the doors to easy dopamine and work on bigger, messier things.
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@biglawbro i'm mostly saying it's not great out of the box yet, but the work to make it good is a text file where you give basic instructions on how to do it, which ultimately is pretty simple too.
here's a recent benchmark showing that gpt > claude on legal tasks.
gc.ai/blog/in-house-…
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are people actually able to get cowork to turn full drafts of complex docs? i invested 6 hrs talking into it, etc, preparing a set of instructions for a full markup a month ago, only for it to spit out pure hallucinations. obviously the world is going that way, but is it there yet? maybe the answer is no and that's why H/L have not rolled out the function.
Ann Srivastava@helloparalegal
Zack Shapiro's essay on running a Claude-native law firm hit 7.6 million views this week. Every word he wrote is true. Most solo lawyers cannot do what he did. Read his piece. He runs Claude in three modes - Chat, Cowork, and Code. He has full terminal access. He built a custom command-line tool that converts legal documents into spoken audio for his commute. He encoded his analytical frameworks into XML-aware skills that open .docx files at the markup level and write the exact markup Word expects. He spent months refining them. His description of the work: "Closing that gap doesn't require technical skill. It requires investing a few hours." That is the only line in his essay that under-describes what he did. The work feels like a few hours when you understand the architecture. It takes months when you don't. The average US solo lawyer has not built a custom command-line audio tool. Has not opened a .docx at the XML level. Has not designed, evaluated, and bundled six instruction files into a plugin. These are not character flaws. They are reasonable allocations of a busy professional's time. A solo with 14 active matters, two paralegals, and a deposition Friday is not going to spend the second quarter of 2026 teaching themselves Claude Skills architecture. What Zack Shapiro did for his own firm, we do for solos who cannot do it themselves. We run the setup interview. We articulate the playbook from past redlines and past memos. We design the skills around the lawyer's actual judgment - not a generic firm framework, but their framework, drawn from their work product. We wire the Westlaw, the iManage, the DocuSign. We train the paralegals. We hand back a configured Claude environment that operates the way Shapiro's does, customized to the practice, in 14 days flat. His essay told 800,000 US solo lawyers what is possible. We make it real for the ones who can't build it themselves. Shapiro proved the thesis. The configuration is what proves it for everyone else.
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@biglawbro Strongly believe that the cringe is a beautiful emotion to embrace. I’m in the thick of that.
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Spoke to a Head of Legal Ops who knew (off the top of his head) the WAU and MAU stats of Harvey vs Gemini for the legal team.
They’re 9 months in and actively monitoring ahead of renewal time. 👀
Nir Golan@lawheroezV2
Legal ops are one of the most important roles is in house legal AI right now. Anthropic just made them more important. Try to get lawyers to build skills and workflows in markdown files. Even the installation of the recent plug ins are very lawyer unfriendly.
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@lefttailguy @hypersoren awesome thanks for the share, i have a lot to think about over the weekend
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@stokebuilder you may enjoy this utopian (or dystopian) vision piece framing the labs (OpenAI in this case) as a Hayekian Aggregator.
"Taken to its logical conclusion, this mechanism allows OpenAI to be the intelligent switchboard that not only discovers/understands/captures workflow intent (scarce context), but also routes it to the best end-to-end solution (scarce context)". This intelligent switchboard turns aggregated workflow intent into a dynamic economic inefficiency index that is programmatically extensible/legible to the growing universe of first party and third party, increasingly AI-powered applications purpose built to solve specific problems end-to-end. Crucially, this system will be maximally conducive to self-improvement via RL: instead of optimizing routing around lagging indicators—who has the largest marketing budget, best Gartner standing, subjective reputation among implementation consultants, executives, etc.—it optimizes around which tool was most effective at turning workflow intent/problems into solutions. Outcome signals drive better routing, which attracts better tools, which improves outcomes in a compounding loop."
Now, it's up to you whether you think the incentives allow OpenAI et al. to become the API the entire economy runs through. My sense (and likely Soren's sense) is that the physics of economic behavior will not allow it. I'm writing another piece that argues having the world model that a true hayekian aggregator would have is necessary for the labs to acheive their stated goal of "making AGI beneficial for all humanity." but it's unlikely most other actors will trust that world model or pay it rent.
thediff.co/archive/router…
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More Hayekian arguments coming out:
here that only companies see valuable high entropy context streams that cannot be instrumented any other way but by being that company
The black pill version of this is that all of this is also true for a roll-up—a hayek-friendly generalizer
Charlie O'Neill@oneill_c
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victor retweetledi
Introducing Ponder: the agentic video editor.
It’s a new paradigm for filmmaking, where powerful creative agents and humans collaborate to tell world-class stories.
We're also announcing our $2.5M pre-seed, led by Liu Jiang from Sunflower (@seedtosunflower), with @Joshuabrowder and @MattHartman.
Joined by @levie (Box), @emerywells (Frame), @JaredLeto, @CommaCapital, the @nyuniversity venture fund, @cory, @darian314, @shiffman, and many more incredible founders, investors, and creators.
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I’m not technical enough to sniff out whether this is just VC pump narrative so all these companies can make them believe their super special data can make a super special model so their valuation can be extra super special.
Or if this is just cope.
I’m genuinely curious.
Charlie O'Neill@oneill_c
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