freelawproject/inception
Our microservice for generating embeddings from blocks of text
This tool helps legal professionals quickly find relevant information in vast collections of legal documents, such as court opinions, and also process short search queries. You input legal texts and search queries, and it outputs semantic embeddings that allow for advanced search and document matching capabilities. It is designed for anyone working with legal research or document analysis.
Use this if you need to rapidly generate semantic embeddings from legal documents and search queries to power advanced search or document similarity systems.
Not ideal if your primary use case involves processing non-legal text or if you do not require specialized legal language understanding.
Stars
33
Forks
10
Language
Python
License
BSD-2-Clause
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
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