
building @MikeOSSTeam, prev: lawyer @lathamwatkins, law @uniofoxford
Singapore
Joined December 2025
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Harvey is valued at $11B. Legora just raised at $5.5B. I built their entire web application in two weeks and I'm making it open-source and free for everyone to use. Say hi to Mike: mikeoss.com.
When I got the chance to try Harvey and Legora, I was surprised by how simple they were. A thought came to mind: I could probably build something similar in no time at all with Claude. And so I did.
Assistant, project, tabular review and workflows. You get it all without vendor lock-in.
Mike offers law firms an alternative, where they own the application layer and aren't stuck with a vendor they're renewing forever.
You can try Mike in the demo on the website, or go to the GitHub link on the site to download the code and run a local version yourself.
Love this account
I would be a billionaire tech founder by now if I wasn't held back every step of my career. My intellectual lessers have been given everything while I scrape and claw for morsels of success in this godforsaken industry. It starts with college admissions. Stanford? Nope. I kept my head held high while I suffered the quiet indignity that is having no other option than to enroll at Berkeley. I didn't get the Jane Street internship, either. Hmmm, ok. So I twiddled my thumbs at Two Sigma for a summer. Tried to drop out like my rivals at real universities but YC wanted to fund AI for carwashes instead. No money for me. So, I embarrassingly walked at my graduation. Did I get the new grad role at OpenAI, the consolation prize for all my trials and tribulations? Heavens no. Instead I ended up at [redacted], a company with such low prestige that I told my friends I was taking a gap year post grad to backpack Europe instead of admitting the truth of my employment. My inferiors who got into Stanford or Harvard? All the career success you could ask for and more. These guys couldn’t hold my fucking jockstrap in a Codeforces contest and are now raking in tens of millions from frontier labs and founding billion dollar companies. I'm not bitter about it, though. It's just an observation I think is interesting.
If you are a firm that hasn’t tried Claude or ChatGPT yet or started building your own harness, maybe consider it.
Clearly Reddit has more negativity than what law firm surveys would reveal, but maybe these lawyers expressing their views under the safety of anonymity have a point when threads like this appear and trend on the Biglaw subreddit almost every month for the last two years.
FWIW there are lawyers who I have met who genuinely like Harvey and Legora. But on the other hand typically their firms don’t provide access to alternatives.
There’s been quite a bit of speculation over whether Harvey and Legora would be acquired by the labs/hyperscalers. Many view it as the only plausible exit option for their investors given that if even OpenAI and Ant are having trouble with their IPO, it seems even more questionable that vertical AI companies with questionable margins would be able to. Let’s look at a few factors:
1. Revenue: in my view this is not a good justification for acquiring either. At around 500m and 200m “ARR” acquiring either would be an insignificant less than a percentage point increase to revenues for the Hyperscalers. I think general consensus is that these revenues are of questionable quality. And as I have posted before, I know of one V10 law firm which has run up a $2m Claude bill in a single month. So this one firm already generated >10% of Legora’s ARR for Ant.
2. Cash-flow: given that hyperscalers and labs are needing to constantly raise cash through debt and are seeking an IPO for further liquidity, acquiring Harvey and Legora would only exacerbate cash flow issues. Many of their current deals are on low fixed prices, or in some cases, completely free. Better to let them stay as independent entities that generate positive cash flow through token purchases funded by investors.
3. Distribution: both OpenAI and Ant have no trouble signing enterprise contracts with leading law firms and getting entreprise legal customers. In just the last two months, OpenAI has signed on a large portion of the leading v50 firms. I am hearing that more and more firms now have the full suite of Claude, ChatGPT, Harvey and Legora.
4. Data: This would assume that Harvey and Legora have captured valuable pre-training and RL data from their relationship with Biglaw in the last two years. Yet certainly in every contract, biglaw firms would have asked for a no model training clause. The cursor acquisition was the largest ever acquisition of a vertical application layer player by a hyperscaler. But that is justified by the massive user base and valuable training data it generates which SpaceXAI desperately needed to catch up to the frontier.
5. Model lock in: On the contrary, labs might view it as imperative to lock in the legal sector to their models. We have seen Harvey seek to transform itself into a neolab and going towards serving post-trained OSS models. This presents a potential risk to future revenues for the American closed model providers. They might thus take the view that acquisition might be the best way to stop this from playing out, and that they can worry about expanding revenues and margins later, so long as the lucrative Biglaw market is locked into OpenAI/Ant models through their control of the application layer.
As much as I agree that there is a massive ambition gap between America and the rest of the world, much of the phenomenon can be explained by the exorbitant privilege that the French president Valery Giscard d’Estaing pointed out. The US dollar being the reserve currency of the world allows the US to support its economy with monetary and fiscal measures beyond the reach of other economies. Countries with massive trade surpluses with America support the American economy by pumping their foreign reserves into the American capital markets.
It’s easier to be ambitious when you have the strongest, most prosperous economy in the world, with the deepest capital and bond markets that can support risk taking impossible elsewhere. This then creates a virtuous cycle where talent, money and technology concentrates in America as it’s the place where capital gets the highest returns.
The idea of the daring American and the indolent and risk averse European can therefore at least be partly explained by the economic structure of the world where American is the dominant economic hegemon. This inability to compete due to structural reasons then turned into cynicism over time. But remember that Europe was the economic hegemon with the greatest technology and scientists in the world until it lost its dominant position after two world wars.
Much of transactional work is based on a standard deal structure with templates and precedents. Attorneys are not figuring out a novel deal structure for a every deal.
Many partners spend their whole lives twiddling around with the same set of documents that they have seen a thousand times and know almost every permutation of.
Transactional work accounts for the majority of Biglaw revenues. Thus the unpredictability argument for the billable hour is not particularly strong.
Replying to @willchen500 @ariesbbz
The market is moving to a deliver on service model which is typical for almost every service industry outside of Legal Work. Billables will always be a thing for big litigation cases due to the length of time of service, but that’s like 10% of lawyers mostly.
Just realised that we reached 500 closed PRs on the Mike repo today: github.com/open-legal-produc…
Maybe that's not a lot of for the token-maxxing demons running 20 sub agents and merging in 100 PRs per day, but it's been a lot of painstaking work from myself and the 20+ community contributors.
It's been quite the journey learning to manage a viral open source project and I have learnt a lot along the way (waking up one day to 60+ PRs and 40+ issues after launching was certainly overwhelming).
If you are interested in contributing, please do. We actively review PRs and issues and merge in contributions.
Will Chen retweeted
I just won my 3rd substantive motion of the year thanks to Claude. Its unstoppable now. my associate cross checks the cites. but even Claude now says, I can't find a third cross cite for Palzgraf, and REDS IT OUT! Its not if anymore, its when. I am done writing briefs from scratch.
Game changer.
I know an associate in Biglaw who is a top 5 power user of AI at his firm. He’s not just making AI slop, he checks everything that the AI produces and verifies the all citations with actual sources, even though AI gets it correct most of the time these days.
Recently he’s been told by his partner that, he’s “over confident”, that he’s working too fast and that he needs to check his work more, even though the partner could not pick out substantive issues in his drafts.
I told him it’s likely code for: you’re running up a bunch of tokens and costing the firm while affecting my top line since I could normally bill the client twice for this work.
As such, he is now forced to take longer on his work with little substantive impact on the work product while the client gets his bills multiplied.
That’s probably part of the reason why despite the billions that have been invested in legal AI for Biglaw, there is barely any productivity increase and clients don’t see their bills go down by one cent.
Interesting slice of information here:
Some of the younger Biglaw partners are actually starting to price their work on fixed fee basis. It will take the system (and old dogs) a while to catch-up, obviously.
A close friend, equity M&A partner at V5, told me 50% of his work now is fixed fee (he ties it to deal value). Firm still requires him to input hours, so he just has dumb narratives because it's never going to his clients anyway.
Many times you will see people question the veracity of something because it challenges their worldview.
Instead of engaging in proper discussion first, the first thing they reach for out of instinct is a smug put down. It is neither polite nor does it reflect well on the person, as in doing so, they broadcast their ignorance to the world.
I maintain the truth of this story, it came from a real conversation with a person I know.
This quoted post is unavailable.
This is brilliant
In February 2027, the First SaaS War began. I remember it vividly
The problem was straightforward: every SaaS company’s biggest customer was another SaaS company. And once code got cheap, they all got the same idea at once
- Amplitude built its own Figma.
- Figma built its own Box.
- Box built its own Amplitude.
Swarms were rewriting 1M-LOC codebases overnight, and the war spilled into the large caps. Adobe built its own CRM. Salesforce built its own MongoDB.
By September, the Bessemer Cloud Index was down 30%.
Then came Black Tuesday - October 15th. Fable 6.2 shipped running 10x faster on Ghost Pepper -- a new custom chip, and the index fell another 30% in a single day.
Then the PMs saw their chance. Unable to move a single real business KPI, they turned to the one line item they could: seat-based pricing. Legend says one PM vibecoded a CRM over a weekend, saved $4.2M a year on his company's Salesforce bill. They paid him a $1M bonus (he moved to the nice part of SoMa)
By February 2028, every company in the index had been delisted and acquired by Bending Spoons or filed for bankruptcy -- their customer data auctioned off to Mercor and micro1.
The only survivor was Excel.
Proud to announce that lawve connector is now available in MikeOSS.
Lawve.ai is one of the largest legal skills repositories in the word started by a French lawyer and ML PhD (@antoinelouis_ below). Via the connector you can now access their full set of legal skills written by lawyers and experts.
excited for this collab between lawve.ai and mikeoss.com! the largest online repositories of legal agent skills now officially integrated into the largest open-source legal AI platform.
Will Chen retweeted
Their AI: “This is market.”
Our AI: “This is not market.”
Incredible. AI has learned the profession.
How do you steal a shophouse? The old guy has it in his name at the land registry. So it’s actually much more secure than crypto.
I know an associate in Biglaw who is a top 5 power user of AI at his firm. He’s not just making AI slop, he checks everything that the AI produces and verifies the all citations with actual sources, even though AI gets it correct most of the time these days.
Recently he’s been told by his partner that, he’s “over confident”, that he’s working too fast and that he needs to check his work more, even though the partner could not pick out substantive issues in his drafts.
I told him it’s likely code for: you’re running up a bunch of tokens and costing the firm while affecting my top line since I could normally bill the client twice for this work.
As such, he is now forced to take longer on his work with little substantive impact on the work product while the client gets his bills multiplied.
That’s probably part of the reason why despite the billions that have been invested in legal AI for Biglaw, there is barely any productivity increase and clients don’t see their bills go down by one cent.
ARR is so ingrained in tech that they have to annualise everything to make it sound bigger even if it doesn’t last for a year at all.
Political scientists and economists: we're looking for researchers with deep expertise to come work with us for a unique 4-month fellowship at @AnthropicAI. You'll work closely with us to evaluate, improve, and apply Claude's capabilities in your field. It's going to be extremely fun and interesting work, and definitely worth taking a short leave from your university for if you need to!
More info here:
job-boards.greenhouse.io/ant…
Sometimes it’s important to remember not to take the public opinion on this site too seriously. Remember a few months ago everyone was calling meta’s downfall and saying that Alexandr basically a dumbass and the whole scale AI buyout was a scam.
Now it’s collective bootlicking, until meta falls behind on the benchmarks again and it’s back to public flogging.

























