Extract from Summer Thompson’s articlce “3 Practical Applications of Retrieval-Augmented Generation for Legal Teams”
Legal professionals are no strangers to performance and productivity-related tools. From matter management to legal workflow tools, these solutions allow them to do their jobs better and with greater accuracy.
Now, with the rising adoption of Generative AI (GenAI) technology, many corporate legal departments are leaning into AI to deliver smarter and more efficient legal work.
In a previous blog post, we explored how Retrieval-Augmented Generation (RAG) improves the quality of large language model (LLM) predictions and highlighted the benefits it offers to legal teams considering the use of GenAI applications.
In this blog, we’ll go a step deeper and explore a selection of use cases where RAG’s retrieval capabilities and content generation functionalities are most impactful, especially when used with proprietary data. From summarization and review to discovery process optimization, here are 3 examples that demonstrate how RAG’s ability to retrieve, summarize, and reference documents can improve legal workflows.
