By default, Discernis will review 25,000 documents per hour, but we can automatically scale up to 100,000 documents per hour. Faster performance can be achieved by contacting us for custom deployment options.

Discernis builds and hosts our own AI models. Our models are faster, more efficient, and purpose-built for Discovery.

Discernis consistently scores over 95% recall and over 90% precision. We also measure Inter-Annotator Agreement (a statistic for determining how often reviewers agree with each other) and find Discernis is indistinguishable from top reviewers.

Our cloud-based offerings scale up to meet demand, but for local deployments this answer depends on how much compute is allocated to the system.

We are compliant with HIPAA and are  currently working to finalize compliance with ISO 27001 and SOC 2. You can learn more at our trust center: https://discernis.trust.site/

Yes.

No. Data is completely removed from all systems within 30 days of any user deletion.

By default, data is hosted in a US-based Azure cloud; however, we can deploy to any region or any other cloud provider if needed.

Discernis is built to accept loadfile or .dat file imports but can also process native files.

We enable loadfile or .dat file exports as well as a csv export containing the list of responsive documents, their scores, and explanations. We also allow the export of generated insights.

No.

Individual files are limited to 1GB in size. Archive files (psts, zips, etc) are exempt from this limit.

Each zip file extracted must be valid (so no multi part zip files) but multiple valid zips may be uploaded.

Embedded documents are extracted and linked to their parent in the child’s metadata wherever possible.

Extraction is high quality even for hand-written text and for scanned images / pdfs.

We treat all characters in the same way as latin characters and haven’t had any issues on encode / decode.