Comment by miohtama
2 days ago
> Everlaw, a platform providing verifiable RAG to help legal professionals analyze large volumes of discovery documents, requires precise semantic matching across millions of specialized texts. Through internal benchmarks, Everlaw found gemini-embedding-001 to be the best, achieving 87% accuracy in surfacing relevant answers from 1.4 million documents filled with industry-specific and complex legal terms, surpassing Voyage (84%) and OpenAI (73%) models. Furthermore, Gemini Embedding's Matryoshka property enables Everlaw to use compact representations, focusing essential information in fewer dimensions. This leads to minimal performance loss, reduced storage costs, and more efficient retrieval and search.
This will make a lot of junior lawyers or their work obsolete.
Here is a good podcast on the topic how will AI affect legal industry
https://open.spotify.com/episode/4IAHG68BeGZzr9uHXYvu5z?si=q...
It's really cool to see Odd Lots being mentioned here on HN. It's one of my favorite podcasts. However, I think the guest for this particular episode wasn't up to the task of answering questions and exploring the possibilities of using AI in the legal world.