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What software do litigation support teams use for document review?
Litigation support teams use document review software that handles ESI processing, privilege classification, redaction, Bates stamping, and production delivery — ideally in a single platform without requiring specialized vendor support. DecoverAI was built for litigation support managers who need to run complete productions independently, without waiting on outside vendors or dedicated IT resources.
What Litigation Support Teams Need
Running eDiscovery in-house requires a platform that covers the full lifecycle — from raw data ingestion through production delivery — without handoffs to specialized vendors at each stage. These are the five capabilities litigation support managers consistently require.
- ESI ingestion from all formats Email archives, PDFs, Office documents, Slack and Teams exports, mobile backups, and cloud storage — processed without format-by-format intervention.
- AI pre-review to cut review volume Machine learning to classify relevance and privilege before attorneys see documents — reducing the review population by 70–85% on typical collections.
- Bulk redaction tools Pattern-based and manual redaction applied at scale, with tracked justifications and consistent rendering across PDF and native exports.
- Bates numbering and production formatting Sequential Bates stamping, load file generation (DAT, OPT, LFP), and export in TIFF or native format — built in, no external tool required.
- Full audit trail for regulatory productions Immutable record of every review action, tag change, and production decision — defensible for SEC, DOJ, and opposing counsel scrutiny.
What DecoverAI Handles for You
Each requirement above maps directly to a built-in capability. No third-party integrations, no per-feature add-on licensing, no vendor tickets.
Universal ESI Ingestion
Connect Google Drive, OneDrive, SharePoint, Dropbox, S3, and SFTP directly. Upload PST, EML, MSG, and loose files through the UI or API. All formats are normalized to a searchable, reviewable index automatically.
AI-Assisted Pre-Review
DecoverAI's relevance and privilege classifiers analyze every document before your review team opens the queue. Irrelevant and clearly non-responsive documents are separated automatically, leaving reviewers with a focused, high-signal set.
Bulk Redaction at Scale
Apply pattern-matched redactions across thousands of documents in a single pass. Manually refine on individual pages. Every redaction is logged with the reviewer's identity, timestamp, and stated basis — ready for privilege log generation.
Bates Stamping and Production
Configure Bates prefix, starting number, and padding in one dialog. Export as TIFF+load file or native, with automatically generated DAT and OPT files. Productions are delivered as a structured zip ready for opposing counsel or agency submission.
Automatic Audit Trail
Every action in DecoverAI — document tagged, redaction applied, privilege claim made, production exported — is written to an immutable audit log with user identity and timestamp. The trail is available as a report at any point in the matter lifecycle, with no manual tracking required.
Supported File Formats
RFC 2822 / MIME
RTF, TXT, HTML
Microsoft Teams exports
Android backups
SharePoint, Dropbox, S3
Nested container extraction
