Thoughts on generative AI in the legal space, updates from Eve, and more!
We are proud to share that Eve has raised a record-setting $103M in Series B funding, with a $1B+ valuation, to accelerate our mission: empower plaintiff law firms to deliver justice at a scale never before possible by becoming truly AI-Native.
Explore how AI for law firms, like Eve Legal, transforms case management, document drafting, and discovery, boosting efficiency and modernizing legal practices.
AI use is changing how firms are approaching their legal billing system. By leveraging alternative fee arrangements, attorneys can still charge for the value of their service, even if their new, AI-streamlined process only takes a few minutes.
There’s a new way to draft legal documents, a new approach to AI. Eve is capable of learning your preferences based on your prior work - creating new documents with your current case details, while preserving your style and tone throughout. With Eve, you’re able to get from 0 to 1 on your legal documents - creating and editing seamlessly in mere minutes.
Now is the opportune moment for plaintiff firms to benefit from AI—not only to level the playing field but also to position your firm for future growth. By incorporating AI into their practices, legal staff can concentrate on high-value legal work, such as strategy and client advocacy, while technology handles routine tasks.
As more law firms are bringing in or thinking of bringing in AI solutions into their technology stack, management teams are eager to make sure that this new technology is used responsibly, ethically and that the firm protects itself and its employees. Writing, distributing, and getting signatures on a firm-wide Responsible AI Use Policy is a great way to start towards adopting AI well.
Can you trust your AI to do legal work? It is not enough to minimize the risk of poor answers or hallucination. At Eve, we’ve worked up an extra layer that we add to the RAG methodology and increase the trust (and ease of verification) of AI’s answers. We call it “Trust but Verify”.
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