In this podcast episode, @FilereadAI's Josh Kreamer explores insights that are hidden in businesses’ burgeoning data lakes — and how #LegalDataIntelligence can help today’s legal professionals extract the greatest possible value from them: https://t.co/kIr4a60Nx2
Who did I miss in the legal x AI market map? Tag them below ⬇️
We at @lightspeedvp believe now is an exciting time to build in legal tech x AI as a confluence of tech and business factors have finally paved the way for meaningful disruption in the market. https://t.co/x6DKJhvD1p
We've put together some thoughts on:
- The “why now” to build outsized opportunities in legal tech
- Market areas we are most excited about
- Common pitfalls to avoid that we see from founders building in legal x AI
- Musings on the evolution of the industry over time
If you're building in the legal x AI space, I'd love to chat so please reach out :) [email protected]
One of the best things we did while building for @FilereadAI. Can't recommend enough what @davefontenot, @escliu, @EmilyatHF0 have built. The focus, guidance, and community is unparalleled for building.
This is huge: Llama-v2 is open source, with a license that authorizes commercial use!
This is going to change the landscape of the LLM market.
Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers
Pretrained and fine-tuned models are available with 7B, 13B and 70B parameters.
Llama-2 website: https://t.co/PKrrXgHdem
Llama-2 paper: https://t.co/aINNrXNhMb
A number of personalities from industry and academia have endorsed our open source approach: https://t.co/N7HwgW9Suh
HF0 has been going incredibly well. We were going to start our next batch in the new year but...
We decided we couldn't wait that long. We're taking applications effective immediately for a batch that this fall. See you there.
Excited to back @FilereadAI as they leverage AI to transform the legal industry.
Thanks @CatherineShu for the @TechCrunch write-up👇
https://t.co/XeqsOOX66R
We’re super excited to announce our $6M seed round led by @GradientVC!
Special shout out to @HF0Residency , @davefontenot, @loopypoet, and Emily Liu for their early conviction.
https://t.co/hc0Yhw4VTu
A 🧵looking at DeepMind's Retro Transformer, which at 7.5B parameters is on par with GPT3 and models 25X its size in knowledge-intensive tasks.
A big moment for Large Language Models (LLMs) for reasons I'll mention in this thread.
https://t.co/p9EZsHJP78
@ArtificialLawya@sra_solicitors@UniofOxford Interesting read! Have you seen any legaltech companies successfully demonstrate value? Would love to hear what firms respond well to.
BERT - or Bidirectional Encoder Representations from Transformers - offers a new searching workflow that requires less precision and tediousness—and could potentially save an organization tremendous amounts of time and money: https://t.co/XF7vMJthh9 @FilereadAI#ediscovery