Epiq Processing
Reduce data volumes and quickly deliver review-ready outputs for analysis and review.
Enable earlier access to data for analysis and review by processing 2 to 5 times faster than leading alternatives. Efficiently cull irrelevant information, protect sensitive data, and deliver review-ready outputs while ensuring security, scalability, and seamless integration.
Deliver Faster Results While Reducing Cost, Risk, and Effort
Key Features
- Reduce review volumes and costs by applying targeted filters such as keywords, date ranges, and metadata to eliminate irrelevant data.
- Process large datasets quickly and efficiently using distributed processing that handles multiple tasks in parallel.
- Prepare review-ready data faster by using a single processing engine to handle diverse file types in one streamlined process, avoiding multiple workflows.
- Reduce manual effort and ensure consistency by processing data seamlessly from collection to review in a few clicks.
- Ensure uninterrupted workflows by transferring processed data directly to review platforms.
- Enhance efficiency by standardizing workflows with reusable templates.
- Protect sensitive data with multi-level security, including physical and environmental controls, patch management, and multiple availability zones.
- Safeguard sensitive data by identifying personally identifiable information (PII) during processing.
- Process data securely and at scale with an AWS-backed infrastructure offering 99.99% uptime and global compliance.
- Produce defensible document production by preserving data authenticity with high-quality imaging.
- Improve context and accelerate decision-making by grouping related emails into threads.
- Reduce complexity in multilingual cases by identifying languages across datasets.
- Gain greater control by monitoring progress, exceptions, search hits, glossaries, custodian summaries, and data size tallies in real-time.
- Streamline document analysis by detecting and grouping near-duplicate documents.
