CaseCite is a self-hosted legal research and document-analysis platform that combines a firm’s documents with case-law tools. Its eight main functions include chat over indexed documents with source citations; importing and organizing files from common cloud storage and legal-practice systems; reviewing, comparing, and redlining contracts; drafting from selected documents; chatting with CourtListener opinions; mapping citations; analyzing judges; and searching cases, dockets, arguments, and legal trends. Longer drafts can be built section by section from a reviewed plan, with references carried throughout. Users can also create and edit a practice profile that supplies standing context for reviews and drafts.
The platform stores documents, search indexes, chat history, and analyses on the firm’s own deployment, and lets users supply their own AI-provider keys. That does not mean all data stays local: document text goes to the configured embeddings provider, relevant text and prompts go to the chat model, and case-law queries go to CourtListener. Fully local processing requires self-hosted chat and embedding services. Uploaded documents and provider keys receive application-level encryption, but derived text and other data are stored unencrypted in application, database, and cache volumes, so host-level disk protection remains the deployer’s responsibility. CaseCite labels AI output as requiring verification; its citation scan is not a substitute for Shepard’s or KeyCite. The source-available Elastic License permits internal self-hosting and modification, but prohibits offering the software as a hosted service without separate permission.
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