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.
Core Requirements
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 formatsEmail archives, PDFs, Office documents, Slack and Teams exports, mobile backups, and cloud storage — processed without format-by-format intervention.
Bulk redaction toolsPattern-based and manual redaction applied at scale, with tracked justifications and consistent rendering across PDF and native exports.
Bates numbering and production formattingSequential 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 productionsImmutable record of every review action, tag change, and production decision — defensible for SEC, DOJ, and opposing counsel scrutiny.
Platform Capabilities
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.
Format Support
Supported File Formats
Every format litigation support teams encounter
Email
EML, MSG, PST, MBOX RFC 2822 / MIME
Documents
PDF, DOCX, XLSX, PPTX RTF, TXT, HTML
Collaboration
Slack exports (JSON) Microsoft Teams exports
Mobile Data
iOS backups Android backups
Cloud Storage
Google Drive, OneDrive SharePoint, Dropbox, S3
Archives
ZIP, TAR Nested container extraction
By the numbers
80%
Less review volume through AI pre-classification
<1hr
From upload to first review on typical matters
100%
Full audit trail included — no add-on required
Common Questions
Frequently Asked Questions
Can our team process ESI without a third-party vendor?
Yes. DecoverAI handles ingestion, processing, deduplication, email threading, OCR, and metadata extraction entirely within the platform. Litigation support managers can run complete collections — from raw source files to a reviewed, Bates-stamped production — without engaging an outside processing vendor at any stage.
What file formats does DecoverAI support?
DecoverAI processes email archives (EML, MSG, PST, MBOX), office documents (PDF, DOCX, XLSX, PPTX), Slack and Microsoft Teams exports, mobile device data (iOS and Android backups), cloud storage files from Google Drive, OneDrive, SharePoint, Dropbox, and S3, and nested archives (ZIP, TAR). Attachments are extracted and linked to parent emails automatically.
How does AI pre-review reduce our review volume?
DecoverAI's classifiers analyze every document for relevance and privilege indicators before your reviewers open the queue. Documents with low relevance probability are separated automatically into a non-responsive set that can be audited but does not require per-document attorney review. On typical collections, this reduces the review population by 70–85%, cutting both attorney hours and per-document review cost.
Is the audit trail defensible for SEC, DOJ, or opposing counsel review?
Yes. Every action in DecoverAI — document tagged, privilege claim applied, redaction made, production exported — is written to an immutable log with the reviewer's identity, timestamp, and the specific decision recorded. The audit trail can be exported as a report at any stage of the matter and has been used to support regulatory productions and meet opposing counsel discovery obligations.
How does Bates stamping and production export work?
Configure your Bates prefix, starting number, and padding in a single dialog. DecoverAI applies stamps, generates load files (DAT and OPT), and exports the production as a structured package in TIFF+load file or native format. The resulting zip is ready for direct delivery to opposing counsel or regulatory agencies without additional processing.
How long does it take to get a matter ready for review?
For typical matter sizes, litigation support managers can configure a new matter, connect data sources, and begin reviewing already-processed documents within an hour of initial setup. Large collections process in the background — review begins on documents as they are indexed, so there is no hard wait for full processing to complete before work starts.
How is DecoverAI priced?
DecoverAI offers transparent, usage-based pricing without per-gigabyte processing fees that inflate costs unpredictably. Teams pay based on active matters and storage volume, not on data ingested. This structure makes budgeting straightforward for litigation support managers handling multiple cases simultaneously. Full pricing details are available at decover.ai/pricing.
Run your next production without a vendor call
See how DecoverAI handles ESI processing, privilege review, redaction, and Bates-stamped production delivery — in one platform, on your timeline.