Case Study: DISCO achieves scalable, cost-efficient legal AI search with Pinecone

DISCO Revolutionizes Legal Technology with Pinecone

DISCO, a provider of cloud-native legal technology solutions, faced the challenge of building an AI-powered tool, Cecilia Q&A, that could efficiently and accurately retrieve information from massive, fluctuating volumes of legal data. They needed a vector database capable of handling complex, semantic searches across both new and old datasets to help legal professionals quickly investigate case facts without the inefficiencies of traditional keyword searches. To solve this, they turned to the vendor Pinecone.

By implementing Pinecone, DISCO was able to power Cecilia Q&A's retrieval-augmented generation (RAG) system for precise information retrieval. The solution's performance led DISCO to transition to Pinecone Serverless, which is projected to significantly reduce costs by eliminating over-provisioning and only charging for resources used. Pinecone provides the scalable, easy-to-use infrastructure that allows DISCO to focus on innovation, building a more powerful legal technology platform for its customers.

DISCO

Rick Vestal

Director of Engineering