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Kirkland & Ellis, the world's highest-grossing law firm, is setting aside $500M to build its own AI platform rather than rely on tools available to its rivals

Financial Times

Discussion

  • @aaronabentheuer Aaron Abentheuer on x
    This makes Kirkland's internal AI org the 3rd largest legal AI “startup” by total funds raised and probably the only profitable one.
  • @marvinliao Marvin Liao on x
    Hahaha! Good luck with that....
  • @andrewallsop Andrew Allsop on x
    Classic legal firm mindset.
  • @quinnypig Corey Quinn on x
    Fun fact, Oracle (Kirkland Ellison) is the world's biggest law firm.
  • r/biglaw r on reddit
    Kirkland & Ellis to spend $500mn building its own AI technology
  • @stevesi Steven Sinofsky on x
    Kirkland & Ellis to spend $500mn building its own AI technology https://www.ft.com/... // It isn't difficult to see why an industry leader would want to seek a competitive advantage in a rapidly changing platform transition. History sees this as a challenge. It is difficult to [i…
  • @ashleymayer Ashley Mayer on x
    Was chatting with two partners at a top law firm the other week. They love using Harvey but also believe it's only a matter of time before Harvey moves into services and transitions from vendor to competitor. Big Law sees the writing on the wall!
  • @ypatil125 Yash Patil on x
    It's happening! Own your intelligence, don't rent it!!
  • @zackbshapiro Zack Shapiro on x
    Change Management is going to become one of the most profitable verticals of the next decade.
  • @ahmedshubber25 @ahmedshubber25 on x
    AI startups rely heavily on customer data. We're about to see large companies aggressively silo their data to build proprietary advantages their competitors can't replicate. I'm very bearish on harvey, and all these sector focused AI startups
  • @joshmaycpa Josh on x
    Unless they hire someone out of palantir, anthropic, etc, to build this out, this money will be wasted. Unfortunately, the people who can build the platform, are probs making way more money at their initial firms.
  • @ryanjdaniels Ryan Daniels on x
    trad firm becomes neofirm
  • @itsmattslaw Matt Margolis on x
    Margolis PLLC is setting aside $500/M to build its own AI platform rather than rely on tools available to its rivals
  • @boringbiz_ @boringbiz_ on x
    This is a massive bull case for on prem vs cloud, especially as more large companies move towards building their own proprietary tools Few realize this yet
  • @willchen500 @willchen500 on x
    The message for firms is that buying a thin wrapper like all the other firms is no longer going to be enough. Buying Harvey and Legora is soon going to become synonymous with being lazy and unserious about AI if you are a big firm. If any firms want to build their own AI so
  • @smb_attorney @smb_attorney on x
    Insiders sent me this mock-up of what it will look like. [image]
  • @pridesai Priyanka on x
    people are excited by this bc on prem/proprietary but tbh i think it will all eventually go to open models intranet vs internet private chain vs public chains we default to open bc its innately better
  • @sellerscounsel Dallin Drescher on x
    $500MM to build a chatbot that adds footnotes saying “we are the market” and “we respectfully decline”?
  • @doodlestein Jeffrey Emanuel on x
    Every big company that operates mostly in the world of ideas and documents should think hard and ask themselves why they're not doing the same thing. Especially because you can outsource the truly hard parts to Qwen and DeepSeek and run the models securely on your own hardware.
  • @thejasonchan Jason Chan on x
    Will spend $500m to get to 80% of what Harvey/Legora can do for a fraction of the price - can't get the same engineering talent since there's no equity upside - realize software maintenance sucks - will bleed talent to by being forced to use subpar tools
  • April Miller Boise April Miller Boise on linkedin
    The AI legal model continues to evolve rapidly.  The decisions being made by the biggest law firms are laying the foundation for the legal industry and the AI framework of tomorrow and beyond. …