• AutoTL;DRB
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    11 year ago

    This is the best summary I could come up with:


    In 2020, Jay Madheswaran, Matt Noe and David Zeng, all veterans of the tech industry, had a vision to harness the power of large language models (a la OpenAI’s ChatGPT) to shake up the legal profession.

    “Legal professionals dedicate hours of their day manually sifting through documents to extract relevant insights,” Madheswaran told TechCrunch in an email interview.

    “Our platform comes pre-trained with skills and knowledge specific to the legal profession, which means law professionals can derive value right out of the box — without any engineering work required.”

    Eve comes with a set of apps aimed at automating what Madheswaran describes as “low-value” use cases for litigation, transactional law and specific practice areas.

    Lest a lawyer or paralegal be concerned that Eve starts to “hallucinate” — the tendency generative AI models have to make things up — Madheswaran emphasizes that the platform is “built to encourage full citations” and direct quotes, and always prompt users to validate the results of its work.

    The 15-person startup plans to use the proceeds from its latest funding round to “double down” on product development and go-to-market functions, according to Madheswaran.


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