eDiscovery AI

eDiscovery AI can be used in the following ways:

Relevancy Document Review: Embrace an unprecedented transition from manual document review to an AI-powered Predictive Coding model.

PII & PHI: eDiscovery AI identifies Personal Identifiable Information (PII) & Protected Health Information (PHI) within your document repository. Further, it provides an exact elucidation of the classified protected information contained within each document. 

Key Documents Issue Coding: eDiscovery AI enables document review for issue codes with effectiveness metrics that consistently outperform previous benchmarks set for 'Relevant/Not Relevant' determinations.

Privilege Review: eDiscovery AI is capable of classifying documents for privilege, while simultaneously crafting a comprehensive privilege log for your convenience. 

Key Documents: eDiscovery AI can discern the nuanced differentiation between generally relevant documents and the pivotal 'smoking gun' documents, which are crucial to your case. This feature operates efficiently even in the absence of any pre-existing training examples. 

Document Summaries: eDiscovery AI is capable of presenting concise, contextual summaries of each document while providing transparency on its classification logic - marking relevance or non-relevance with exceptional clarity. Moreover, it offers the capability to coherently encapsulate all documents related to a specific issue, streamlining your decision-making process.

Funding Information:
eDiscovery AI has raised a total of $500K in funding over 1 round. This was a Seed round raised on May 29, 2024.