
Subsidiary @reedsmithllp we build and invest in cutting edge tech to help legal teams to gain insight into their #contracts #ediscovery #legaltech
San Francisco, CA
Joined April 2018
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AI is NOT slowing down that’s for sure 😅
Replying to @Scobleizer @GroqInc
From what I can tell, GPT4o is running 60-80 tokens per second. Groq is running ~300+ on Lama 3 70b. So there’s still a massive spread in terms of speed
Gravity Stack retweeted
It's coming up soon. Get your tickets for Legal Innovators California!
Richard Tromans puts together this great #legaltech / GC conference in San Francisco!
Replying to @ArtificialLawya
Gravity Stack retweeted
AL talks to keynote speaker Zach Abramowitz about why he's excited for the Legal Innovators California conference, SF, June 4/5 🌉🇺🇸🤖⚖️🚀
> Short 2.5 min intro - press play to watch 🔊
#legaltech #lawtwitter #LegalInnovators #GenAI
OpenAI dominating the market in a single image via @CBinsights
Contractual obligations are driving data privacy and cyber security upgrades legaldive.com/news/contractu…
Former manager of ML at Snap launching an AI first “cruelty free” eDiscovery solution lawnext.com/2024/02/promisin… by @bobambrogi
Legaltech funding is down with commentary from @ArtificialLawya
Still a tough market for #software funding, it seems, based on the new @RaymondJames report
> But, as we have seen #genAI defies this...
> some #LinkedinLaw points from AL.
#legaltech #lawtwitter #startups
linkedin.com/posts/tromansco…
Chain of thought is LLM 🔥 cobusgreyling.medium.com/ran…
What will the discovery battles of the future look like? lawnext.com/2023/12/brave-ne…
🤓🤓🤓
LangChain@LangChain26 Nov 2023United States
United StatesConnected via WebAccount-level information, not a live location or per-post device.
🦜Build your own RAG with Mistral-7B and LangChain
Using local models can enable chatbots over your data while ensuring your data never leaves your computer
Great for enterprise or privacy centric use cases
This blog post by Madhav Thaker is one of the best resources we've seen yet. Explains not only RAG (retrieval augmented generation) but also how to work with local models
Thanks to @Roger_M_Taylor for sharing!
Blog: medium.com/@thakermadhav/bui…











