Evaluating Vector Database Options for Legal Document Search

Introduction

Legal document search requires precise filtering. Not only do we need semantic matching, but we also must filter by date, lawyer, case ID, or client.

Contenders

• Pinecone: Excellent cloud-native managed service, but unsuitable for strictly on-premises mandates.
• pgvector (PostgreSQL): Robust, open-source, and integrates with existing SQL backups.
• Qdrant / Milvus: Highly performant standalone vector engines.

Recommendation for Professional Services

For consultancies and law firms requiring on-premises security, combining PostgreSQL with the pgvector extension is the most robust and audit-friendly choice.