Epiq AI Discovery Assistantâ„¢
Reimagine your eDiscovery process using AI technology that significantly increases review speed, accuracy, and cost efficiency.
Complete reviews up to 90% faster than TAR or linear review.
Automate more than 80% of traditional review processes.
Review data for issues, privilege, and responsiveness using prompts and models automatically created from review protocols.
Without repeating workflows, explore new insights that could not have been uncovered using natural language search.
Drive Stronger Outcomes With First-Of-Its-Kind AI
Faster Review
Get to production sooner with AI that predicts tags directly from review protocols.Deeper Factual Understanding
Surface relationships between key players, events, facts, and evidence across datasets within an AI-created Knowledge Layer.Accurate Tag Prediction
Infuse Knowledge Layer context for accurate AI tag prediction for relevance, issues, and privilege.Limitless Evidence Interrogation
Question the Knowledge Layer and full datasets using a chat interface and receive answers linked to cited evidence.Key Features
Knowledge Layer
- Uncover insights unavailable using natural language search with AI that automatically surfaces relationships between key players, events, facts, and evidence across data sets and verifiable facts.
- Achieve automated classification accuracy by infusing Knowledge Layer context into each decision request.
Tag Prediction
- Identify relevance, unlimited issues, privilege, and PII directly from review protocols or written instructions.
- Review pre-processed and annotated files with automatic entity extraction and linking, infusing Knowledge Layer context for accurate tag prediction.
- Gain visibility into AI decision-making and performance with accuracy, precision, and recall metrics.
Evidence Interrogation
- Question the Knowledge Layer and full datasets using a chat interface and receive answers linked to cited evidence.
- Enhance accuracy with support from pre-trained models for topics such as anger, joy, business plans, and financial documents.
- Safeguard matter data with AI that use private language models that do not train public models.