Badfaith

102 posts

Badfaith

Badfaith

@Badfaith___

https://t.co/aam54YfkMd

Katılım Şubat 2026
17 Takip Edilen17 Takipçiler
Matt Margolis
Matt Margolis@ItsMattsLaw·
Truly no better “this you?” than citing your judge from another case
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Badfaith
Badfaith@Badfaith___·
From the Infinity Machine. I guess indirectly DeepMind’s fears were realized when it came to Palantir and AI
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Badfaith
Badfaith@Badfaith___·
@harvey What kind of stat is “93% weekly adoption”? What does that actually mean?
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Harvey
Harvey@harvey·
Dentsu’s legal team: 250 people, ~120 markets, 93% weekly Harvey adoption. They’re saving hours, cutting external counsel reliance, and showing up with answers before anyone asks.
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WillC
WillC@willchen500·
How many times has Legora marketed itself as having "agentic workflows", being an "agentic platform" before now being an "agentic OS™". Just go to google and search 'site:legora.com "agentic"' to see for yourself. I looked at the announcement and I frankly failed to spot anything new other than a flashy demo and a trademark. Not only that but there seems to be a bad formatting error on the announcement page which I assumed comes from vibe code. Did no one check it before it went out.
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Badfaith
Badfaith@Badfaith___·
@tx_law Great way to generate more work for yourself
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Kenneth D. Owen
Kenneth D. Owen@tx_law·
Yes, I can do transactional M&A work despite the nature of my practice being civil appeals and litigation.
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Badfaith
Badfaith@Badfaith___·
@greggnunziata This is probably much closer to true at the appellate level than at the trial level.
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Gregg Nunziata
Gregg Nunziata@greggnunziata·
In law school, a prominent appellate judge spoke to our class, and someone asked: "How often do oral arguments make a difference in the outcome of a case?" The judge thought a bit and said: "In my 25 years on the bench...never, they've never made a difference."
Neal Katyal@neal_katyal

Five months ago, I argued against the President's $4 trillion tariffs at the Supreme Court. In 237 years, the Court had never struck down a sitting President's signature initiative. Legal scholars said it was impossible. Some of my own colleagues said it was impossible. We won. 6-3. But the real story isn't what happened in that courtroom. It's what happened in the months before. And its the subject of my TED talk, coming out tomorrow. I had the best legal team in the nation, especially Colleen Roh Sinzdak, the most outstanding legal strategist I know. Huge thanks, too, go to the Liberty Justice Center (and in particular its fearless and hyper-intelligent leader Sara Albrecht), who organized the client small businesses, as well as to the brave small businesses themselves. I also had four teachers preparing me. A mindset coach who'd worked with Andre Agassi. An improv coach who taught me that "Yes, and" works in Supreme Court arguments the same way it works everywhere else. A meditation coach who taught me stillness. And Harvey. Harvey predicted many of the questions the Justices asked — sometimes almost word for word. Brilliant. Tireless. Occasionally insufferable. Here's the catch: Harvey isn't a person. Harvey is a bespoke AI I built over the last year with a legal AI company, trained on every question every Justice has asked in oral argument for 25 years, and everything they've ever written. Tomorrow, TED releases my talk about what really happened — and what I learned standing at that podium. AI can predict. AI can analyze. What AI cannot do is the one thing that actually won the argument. Connect. Read the room. Hear not just a Justice's words, but her worry — and answer the worry. That is the irreducibly human skill. Find yours. Go deeper. In this age of AI, that's where your edge lives. The talk goes live Thursday, May 7 at 11am ET: go.ted.com/nealkumarkatyal What's the irreducibly human skill in your work — the thing AI can't touch?

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Badfaith
Badfaith@Badfaith___·
Are any lawyers just quietly vibecoding their own tools to help with some repetitive part of their workflow that they got sick of doing over and over again? Or for paralegals? Has anyone built anything themselves that they are finding useful?
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Harry Stebbings
Harry Stebbings@HarryStebbings·
Wild stat: the Jude Law campaign Legora ran last month generated $50M in qualified pipe in the subsequent 30 days. 🤯
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Badfaith
Badfaith@Badfaith___·
AI issues turning up in evidentiary disputes at trial from an unpublished New Jersey case: Investigator put his report into "an AI program" to prep for cross-examination and it inadvertently gets turned over in discovery (oops). This must have been very helpful for the defense because counsel tries to hammer it during trial. Court doesn't let him get anywhere with it but can imagine a world where this turned out much worse for the investigator. Does anyone have any firsthand experience of similar situations arising during discovery or trial?
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Badfaith
Badfaith@Badfaith___·
@DietCoke_Esq I’ve always assumed that’s when most of your poasting happens.
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Keeks 🦋
Keeks 🦋@DietCoke_Esq·
I love sitting in court for 2.5 hours for a 2.5 min hearing
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Badfaith
Badfaith@Badfaith___·
That makes sense. This was many moons ago but I recall digging into bar passage rates in NY back when I took it. If you look at first time test takers graduating from ABA accredited law schools the pass rate was extremely high. While not published at the time, I’m sure if you added people who did the proper prep course it’s gotta be even higher.
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Badfaith
Badfaith@Badfaith___·
@RileeDHarrison Big overlap between the lawyers who wear whatever they want and those with a yahoo email account
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Barred and Bearded
Barred and Bearded@RileeDHarrison·
Good lawyers wear suits everyday. Great lawyers wear whatever the heck they want.
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Badfaith
Badfaith@Badfaith___·
@DietCoke_Esq There is no better way. Best to just embrace it and be as difficult as possible in return.
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Keeks 🦋
Keeks 🦋@DietCoke_Esq·
There has to be a better way to pick deposition dates than a 50+ emails thread with attorneys saying “no I have _____ that day, does [date that doesn’t work for someone else] work?”
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Badfaith
Badfaith@Badfaith___·
The attorney-client privilege in NJ means a lot more than you think.
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Zhu Su
Zhu Su@zhusu·
White people will flick through 10 pages of a menu in Thailand and then order a pad thai with a tom yum goong and a coconut.
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Badfaith
Badfaith@Badfaith___·
Yet another pro se appeal dismissed because of fake citations that were found to "likely" come form the misuse of an "artificial intelligence tool." Court doesn't dismiss because of the AI misuse just notes that there was otherwise no support for the arguments.
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Badfaith
Badfaith@Badfaith___·
@willchen500 BuT hOw eLSe tO cOlLabOrAtE aCrOSs lArGe fIrMs aNd leGAl tEaMs??
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WillC
WillC@willchen500·
Harvey and Legora are essentially sales organisations that resell tokens. They have hired legions of ex big law juniors and mid levels as sales people (“GTM”) along with some ex partners to wine and dine their former colleagues. They slap on a UI that makes them look different from ChatGPT but the product differentiation and vertical specific features are far and few in between. You could just as well use both for any white collar job. Their web apps are basically 1. A chatbot interface 2. A projects function where you can upload your files 3. A tabular review function where you can bulk review documents in a table 4. Workflows which are just custom prompts you write for the chatbot or tabular review. I was able to build everything plus some additional functionality they do not have like version control in mikeoss.com in two weeks. I call this the “token reseller theory”. They are like car dealers or real estate agents but for tokens. The model providers get them to do the selling to crack open the reticent legal market. What happens to H/L now that the model providers want the market for themselves? Does not bode well for them.
Bohan@loubohan

Heard that Harvey is slicing their wrapper even thinner by outsourcing their product to Anthropic Managed Agents as they realize there is no data/posttrain moat on top of the models Harvey/Legora will become a brand + sales team distribution channel for Anthropic until they get bought or give up

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