Husband. Father of 6. Co-founder, CEO, @filevine. #verticalAI #biasedtowardaction

Salt Lake City, UT
My son was there! He loved it 💪🏻
Attended an MTC Devotional tonight to hear my parents speak to the missionaries. Impossible not to be bullish about the future being in the presence of these thousands of young people! “No unhallowed hand can stop the work..”
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Ryanfilevine retweeted
Win a Telecaster signed by the @googoodolls. PLUS your shot at a photo with the band at LEX Fest. 🎸 Enter now and you could be walking away with a piece of rock history and a moment with the band themselves. Enter here: lexsummit.com/?utm_source=x&… #LEXSummit2026 #LEXSummit NO PURCHASE NECESSARY to win. Open to legal professionals, 18+, legal residents of the 50 US states + DC. Ends 10/28/26. See Official Rules for the free alternate entry method, odds, and full details: filevine.com/legal/filevine-…. Void where prohibited.
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receiving somebody else's LLM slop is actually net negative productivity for the company
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🎯
Dear BYu fans please stop crying about the F the Mormons chant when you go to differnt stadiums.. they are drunk, ignorant, and at the end of the day it’s Just talking crap… it’s part of the game. But fans making it big deal makes us seem soft. And I know yall aren’t.
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Really excited that this is free for all FV users. No add on cost whatsoever. Download it in the App Store today. I think you’ll love it. Also has a surprise feature ;)
You already take meetings every day. Now LOIS is there too. LOIS is listening for action items, decisions, and next steps, then syncing them back into Filevine automatically. And it's now available free for every customer, because your daily conversations should be connected to your case work. Download LOIS for Meetings in the Apple Store: apps.apple.com/us/app/lois-f…
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Human lawyers are expected to be right. No client would tolerate a 50% error rate.
Replying to @RyanM_Anderson
How does that compare to prior models? How does it compare to most humans? How does it compare to lawyers?
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Sorry is this supposed to be good? Astra, what we are told is LITERALLY AGI, is no better than a coin toss on legal.
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The missionary to enterprise SaaS sales guy pipeline is a thing
Just walked by two Mormon missionaries among the Dreamforce crowd in Salesforce Park, and I’d pay money to watch a faceoff between them and an enterprise SaaS sales guy. Do they walk off with a CRM contract, or do they convert the sales guy?
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Turns out our anti hallucination tool also works on human error 😂
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So stoked about this!
Join us for a live look at how Filevine + Codes Health automates medical records retrieval end-to-end: ☑️ Submit & track requests within your project 🔍 Records audited for completeness before they hit your desk 🚨 MedChron flags missing docs & auto-triggers requests
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AI culture has this quality where those who aren’t familiar with an industry are somehow quite certain that said unfamiliar industry can be disintermediated by AI
I must be among an extremely small group of people (n=1?) that have both 1) trained a frontier LLM and 2) designed and synthesized custom viruses in a lab with my own two hands. And I think that the takes on AI killing us all by creating dangerous viruses is total bogus.
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Our legal system has been “running on prod” at scale for 250 years. It’s pretty damn good. Not perfect. But it’s the best in the world.
Law enforcers already have authority to charge companies and their CEOs for creating and releasing dangerous, unvetted, or defective products. We shouldn’t let discussions about new legal regimes distract from the fact that there’s no AI exemption from laws already on the books — a point @FTC emphasized repeatedly during my tenure. 1. There is an extensive set of laws that govern dangerous and defective products. For example, releasing unvetted AI models or agents can violate consumer protection laws. Shipping flawed AI tools without implementing adequate measures to detect and stop rogue or defective AI agents can be an “unfair or deceptive” act or practice under the FTC Act (and analogous state laws). And some state AGs are already exploring holding AI firms and their CEOs criminally liable when their models participate in criminal activity. 2. Existing laws also prohibit “unfair methods of competition.” This covers instances where AI firms appropriate the competitively sensitive information of their customers, including through tracking their use of various tools. It can also cover instances where firms pursue dangerous behavior, aware that doing so may compel rivals to do the same. As the Supreme Court has noted: “A method of competition which casts upon one's competitors the burden of the loss of business unless they will descend to a practice which they are under a powerful moral compulsion not to adopt, even though it is not criminal, was thought to involve the kind of unfairness at which the [unfair methods of competition] statute was aimed." 3. The highly concentrated and interconnected structure of these markets could be creating major risks and conflicts of interest. We had started investigating these partnerships and cross-investments across the stack (and released a preliminarily overview of some findings: ftc.gov/news-events/news/pre…). Both federal and state enforcers should be scrutinizing these opaque relationships and inter-dependencies. We are already seeing how these relationships could undermine accountability. For example, OpenAI could face liability given the Hugging Face incident, but Hugging Face being bought up by Nvidia means that we’re unlikely to see it file a lawsuit over this — given Nvidia’s strong incentive to see OpenAI continue full speed ahead. 4. As AI tools dramatically change the landscape of cybersecurity risks and hacks, all businesses should be doubling down on having core security protections in place. Firms that fail to invest in adequate data security measures or fix known vulnerabilities can also be breaking the law. A recent analysis showed that around 1/3 of Fortune 100 companies do not even have a way to notify them about security issues. During my @FTC tenure, we sued firms for poor data security practices and held CEOs liable when they were personally responsible. this.weekinsecurity.com/doze… ftc.gov/news-events/news/pre… 5. As policymakers consider new legal regimes, we should be looking to lessons from prior efforts to govern major sectors, such as banking and other networks, platforms, and utilities. Tools like structural separations, nondiscrimination, and supervision could be key, and there’s a rich history of what works and what doesn’t. But we can and must pursue any new efforts alongside enforcing existing laws.
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Ryanfilevine retweeted
Next level…
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Ryanfilevine retweeted
Strong liability enforcement could be helpful in the AI debate. If your agent swarm goes rogue, you’re liable. If your weakly protected model gets jailbroken, you’re liable. If you serve a weakly protected OSS model, you’re liable.
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Instead of telling us how scared we should be, why can’t the labs just show us what they are seeing? If they want regulation, we deserve to see the evidence.
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Well said
Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead. You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement. I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible. But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier. Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want. Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well. So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it. If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.
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Ryanfilevine retweeted
Join us tomorrow at 2pm ET as our CEO @RyanM_Anderson, Product Manager John Rizner, & Legal Engineer Stacie Smith explore how we help forward-thinking firms replace restrictive AI policies with structural trust layers that enable them to use AI safely. Save your seat: filevine.com/webinars/from-r…
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directionally correct.
Replying to @litigationai
Legal research is the glorious exception. Really just a proper database away from killing westlaw and lexis completely.
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Ryanfilevine retweeted
There are 3 people who can catch a bad citation in your brief: you, opposing counsel, or the judge. LOIS anti-hallucination ensures you’re the one to catch it first. On 9/10, we'll cover what verification looks like when your name is on the filing. Save your seat: filevine.com/webinars/from-r…
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