Etain is an AI-native knowledge platform built for law firms and in-house legal teams to organize matters, capture institutional knowledge, and automate recurring legal work.
Key features and functions include:
Workspaces
A dedicated environment is created for each matter, transaction, client, dispute, or legal function. Documents, trackers, drafting, workflows, and AI context are held within that environment rather than spread across email, shared drives, or personal folders.
Libraries
Reusable legal knowledge — approved templates, playbooks, standard and fallback positions, and prior deal materials — is stored centrally. Libraries provide the underlying material the AI draws on and are intended to keep users working from current, approved positions.
Chat grounded in documents
Users can ask questions in plain language and receive answers sourced from documents held in a workspace or library, with a citation to the supporting passage. The feature is used for document review, clause-by-clause comparison, summarization, and first drafts of emails, memos, and clauses, with a lawyer reviewing and approving the output.
Workflows
Recurring work, such as monthly reviews, obligation and deadline tracking, and file organization, runs automatically within a workspace. Outputs require lawyer sign-off before anything is finalized or sent.
Knowledge graph
A graph underlies the platform, connecting documents, people, matters, dates, and their relationships as material is added. This layer is intended to retain a firm's accumulated context independent of any single AI model.
Access control
Permissions are set by the firm at the workspace level, so that matters remain separate and business colleagues or external counsel see only the material relevant to the matter they are working on.
Integrations and hosting
The platform is designed to sit alongside existing systems rather than replace them, with connections to document management systems, Microsoft Word, and Microsoft Outlook. The vendor states that customer documents and knowledge are not used to train AI models, either Etain's own or third-party models.
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