Prevail’s AI doesn’t just retrieve data—it reformats and refines it to match the user’s query with precision. By focusing on context and minimizing errors, our AI delivers tailored, accurate responses, setting it apart from RAG models that often misinterpret complex legal queries.
Despite its potential, RAG is far from flawless, especially in legal contexts. As the Stanford study highlighted, RAG depends heavily on the quality and relevance of the data it retrieves.
Using Retrieval Augmented Generation (RAG), key players in the legal sphere have built AI-powered research tools to significantly reduce errors compared to general-use models. However, a recent study has illuminated some shortcomings—we're breaking down the research that shocked the legal industry.
Whether you're a small firm or a global organization, these eight security standards are non-negotiable to stay ahead of threats and maintain compliance and client confidence. Each serves a unique function in protecting the core of your operations, and collectively, they create a robust shield...
Prevail’s AI-powered transcript summaries drastically reduce the time needed to analyze legal testimony, offering precise, high-quality summaries. This advanced system enhances efficiency, accuracy, and cost-effectiveness for legal professionals.
The content on this blog is for informational purposes only and does not constitute legal advice.
