How &AI scaled global legal retrieval with Qdrant

&AI, co-founded by Herbie Turner and Caleb Harris, is revolutionizing patent litigation through a retrieval-first approach using modern AI tools and the Qdrant vector database. The platform focuses on invalidating patents by utilizing semantic retrieval to search vast, multilingual document corpora for prior art, minimizing reliance on human intuition and traditional methods. By embedding patent data into dense vectors with OpenAI's models and indexing them in Qdrant, &AI handles billions of tokens efficiently without increasing DevOps complexity. Qdrant’s architecture, offering features like multi-tenancy, payload filtering, and quantization, supports &AI in delivering accurate, fast searches while ensuring data privacy. This approach has enabled the development of new products and services, such as real-time invalidity checks and interactive claim visualization, while expanding into new jurisdictions. As &AI continues to enhance its AI patent agent Andy, the integration with Qdrant is set to grow, potentially utilizing upcoming features like hybrid and multimodal search to further streamline and automate patent workflows in the legal tech domain.