E-Discovery

Technology Assisted Review (TAR/predictive coding) uses machine learning to prioritize relevant documents. NLP analyzes document content for relevance, privilege, and key concepts. Communication analysis maps relationships between participants. AI coding categorizes documents by topic and relevance. Analytics identify patterns across large document collections.

TAR prioritizes relevant documents from millions of files. Privilege detection identifies attorney-client communications. Communication analysis maps key relationships in an investigation. Multi-language processing handles international litigation data.

The global e-discovery market exceeds $15 billion. Every lawsuit and regulatory investigation involving digital data requires e-discovery.