Co-Founder, @Gen_Legal_Inc Fmr: ML Engineer, @Harvard_Law, @CooleyLLP

Washington, D.C.
Joined January 2015
Will is one of the most prolific voices in legal tech today - and a voice that often dovetails with General Legal's fundamental worldview: you don't need to raise $500M to build great software for legal professionals. Relatedly, selling billions of dollars of software to overpaid lawyers doesn't necessarily mean you will change anything about the delivery of legal services or the client's experience. You need to actually be incentivized to do that. Thrilled and honored to be collaborating, @willchen500! More to come soon ;)
Replying to @MikeOSSTeam
@MikeOSSTeam has been sponsored by @gen_legal_inc, a leading AI-native law firm backed by investors such as YC, Audacious Ventures and SV Angel, to develop a new open source project (Mike[???]) that will shake up the legal industry. Currently in stealth. More details to come. Thanks @jaypmo @rwalk_xyz
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Spend on outside counsel is on the verge of collapsing. In its wake clients will still need to know what is market. Data flywheels will matter more than ever for the next two to four years, while Big Law focuses on margins to pay for their second homes. xitter.cf/ReutersLegal/status/21…
Over the course of this year, AT&T General Counsel David McAtee has stopped paying law firms to do many ​assignments traditionally done by junior lawyers, instead sending the work to a team of AT&T lawyers using AI. Read @sara_randazzo's latest column reut.rs/4rSGwPr
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Closing a $30k contract shouldn’t come with a $12k legal bill.
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Why doesn’t Big Law reward speed or client satisfaction?
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We got flying cars before we got Big Law to quote a fixed fee.
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Outside counsel: “We identified 23 issues.” GC: “Which ones should we actually negotiate?” Outside counsel: “Happy to schedule a call.”
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Big Law has a strange AI problem: the better it works, the harder the invoice is to explain.
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General Legal’s free template library includes MSAs, employment agreements, privacy policies, and more. We release these under CC0, which means they are open source. Use them yourself. Give them to your lawyer. Point your AI agent at them. Several of you asked for an agent-friendly link, so here’s the GitHub repo: github.com/General-Legal/leg…
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another AI law firm begged one of our clients to take a quid pro quo where client buys a subscription for $100k of legal services and law firm buys services worth like $1M from client. client GC was like "their service sucks but I am gonna buy, shelf the subscription for 10x ROI"
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A senior lawyer knowing which five clauses matter is worth more than a junior lawyer changing all fifty.
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Flat fees turn “we should automate this” from an innovation committee discussion into a financial necessity.
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I started questioning outdated legal workflows well before ChatGPT. When I arrived at law school, I wondered why lawyers were paid so much for processes that technology could help streamline. This was an obvious issue well before the AI revolution.
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I want to build a legal AI agent that automatically appears in a founder's Slack whenever someone types “we probably don't need a lawyer for this.”
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The most interesting AI-native law firms won't look like smaller versions of Big Law. They'll look like companies that figured out how to deliver legal services without making every customer learn how a law firm operates.
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Not trying to sound like a dick, but have you ever worked at a law firm? This is obviously what the partners are going to do, esp if it's a great associate the client is willing to pay more for. I imagine partners will be more pro-AI wrt shit associates whose time they write down
This quoted post is unavailable.
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At some point, two AI agents are going to negotiate a contract, agree on everything, and then wait three days for their humans to schedule a call.
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Flat fees make law firms pay for their own inefficiency. You can see why this is controversial.
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JP Mohler retweeted
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.
Investing in AI does not change what a law firm rewards. If the incentive is still to log more calls, do more busywork, and bill more hours, a new tool will struggle to change the outcome.
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Investing in AI does not change what a law firm rewards. If the incentive is still to log more calls, do more busywork, and bill more hours, a new tool will struggle to change the outcome.
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