@nyulaw @srzlawfirm alum advising world’s top law firms on AI strategy. Check out my YouTube Channel 📺 youtube.com/@legallydisrupte…
Joined June 2009
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🎙️Episode 51 with ex-Latham attorney @willchen500 who built an open source Harvey/Legora called Mike OSS 🏴☠️
00:00 Zach’s Hot Disruptive Legal Take: Argg Legaltech Pirates
2:30 What Led Will Chen to Start Mike OSS
10:00 Advice for lawyers who want to code
12:00 Who’s using Mike?
13:00 Relationship with Legal Quants
19:00 advantages of open source
22:00 legaltech pirates
26:00 Hate for Harvey
38:00 Kirkland setting aside $500M for AI
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Zach Abramowitz retweeted
listen up, we have to vote for the man with the nazi tattoo so he can stop the man landing rockets and curing the blind from making any more money, otherwise we’ll get fascism
you see how stupid you sound, yes?
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Jun 11
RT @tunguz: Our Anthropic overlords deciding which prompts the peasants are allowed to use.
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Jun 11
I like to see this
Jun 11
Litigation firm Susman exceeds Milbank raises as associate pay hikes slowly spread reuters.com/legal/litigation…
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Zach Abramowitz retweeted
Jun 10
We think Fable-5 is an incredible model and want to give our customers the controls to be able to use it safely for their legal work.
We are currently allowing firms to opt-in to using Mythos-class models and being very explicit to avoid customers being unaware like you mentioned.
Jun 9
I bet there are tons of lawyers using harvey, legora, and claude who are completely unaware of this change and its impact on client confidentiality
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Jun 11
I often think about how ridiculous Hakeem Olajuwon would have been if he played in the everyone shoots threes era
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Zach Abramowitz retweeted
Jun 10
TLDR:
1. Declare AI too dangerous for ordinary competition so you propose a regulatory regime where only the largest incumbents can survive
2. Warn about labor displacement while selling the product to executives as a labor-displacement tool
3. Warn about state overreach while asking the state to license and gatekeep frontier models
4. Warn about corporate power while sketching a corporate-state cartel over compute, release, security, export controls, and deployment
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Zach Abramowitz retweeted
Next up on today's #legaltech funding: Sandstone raises a $30 million Series A. law360.com/pulse/legal-tech/…
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Zach Abramowitz retweeted
Some legal AI companies are sponsoring athletes. Others are sponsoring actors.
Spellbook is sponsoring lawyers.
We’re proud to launch Spellbook’s $1m Legal Fellowship Fund.
We're supporting law students who want to work at the intersection of law, systems thinking and technology.
My co-founder Daniel knew he wanted to change the practice of law early, but that seemed insurmountable until we found an angel investor. We want to pay it forward to the next generation of legal innovators.
Please help us spread the word!
Apply here: spellbook.com/fellowship
Deadline for Fall 2026: July 15.
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Proud investor in these guys. And boy do they know how to move fast. Cc @nifleisher @sandstonehq
Jun 9
Sandstone raises $30M to bring AI to in-house legal teams techcrunch.com/2026/06/09/sa…
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Zach Abramowitz retweeted
Jun 9
The amount of VC-backed AI companies lying about their ARR publicly is absolutely unsettling
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Zach Abramowitz retweeted
Our only accounting customers are big4 - they have large legal practices in countries outside US (audit restrictions don’t allow them to do the same bundled work in the states) we do some tax work with them as well but that’s mostly Corp tax research related / adjacent to law
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Zach Abramowitz retweeted
Jun 8
Now everyone just assumes Anthropic is going to win, when it seems like OpenAI is at parity (or advantage) in model and harness quality. Sentiment swings way too wildly
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I always hear people assume OpenAI will dominate as though it's certain—but what really do they have over Anthropic or others? More compute? Better team? First mover advantage?
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Heard an amazing story from someone who just finished their 1L year.
Beginning of first semester, all students had to sign an agreement saying they wouldn't use AI
Second semester, the law school changed course and decided to mandate AI training for all 1L students.
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Zach Abramowitz retweeted
However bad you think AI hallucinations are in law, I promise you that human hallucinations are worse
And AI is really good at catching human hallucinations
(from a document filed to the SEC by a major bank)
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Zach Abramowitz retweeted
Jun 5
We should still learn how to code in 2026.
Trying to become a lawyer/builder like @willchen500? Here’s what he recommends:
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Trying to become a lawyer/builder like @willchen500? Here’s what he recommends:
🎙️Episode 51 with ex-Latham attorney @willchen500 who built an open source Harvey/Legora called Mike OSS 🏴☠️
00:00 Zach’s Hot Disruptive Legal Take: Argg Legaltech Pirates
2:30 What Led Will Chen to Start Mike OSS
10:00 Advice for lawyers who want to code
12:00 Who’s using Mike?
13:00 Relationship with Legal Quants
19:00 advantages of open source
22:00 legaltech pirates
26:00 Hate for Harvey
38:00 Kirkland setting aside $500M for AI
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Zach Abramowitz retweeted
Jun 5
This.
Jun 5
As I wrote this, I saw X go into meltdown over tokens.
You've seen the headlines: “Uber blows yearly AI budget in just one quarter.” “Meta employee burns 281 billion tokens in April.”
But, the problem isn't spending. Spending works. Since 2023, the top quartile of our AI spenders doubled their revenue. The bottom quartile? Flat.
It's blind spending. We don’t know which spend worked.
A sales team has qualified leads. A support team has resolved conversations. These are units you can measure against. All a token tells you is the meter ran, not whether the work was worth it or not.
Finance says, “half the budget,” engineering says, “double it” and you don’t know who’s right because there is no shared language of value. There’s no attribution, and no attribution means no allocation.
For example, right now, all work, no matter the size or shape, defaults to frontier models. But meeting summaries and calendar updates don’t require GPT-5.5 Pro.
In isolation this seems trivial, but re-route just 10% of a $10M AI bill from frontier to GPT-4 level intelligence you’ve saved nearly one million dollars. This sounds like a made-up stat — it’s not. It truly is that much cheaper.
This is the future of finance: not blindly rubber-stamping or rejecting AI spend, but allocating it with the same rigor companies apply to headcount.
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