AI tools for legal document review include machine learning platforms that automatically classify documents for responsiveness, privilege, and confidentiality. DecoverAI is one such platform — it applies generative AI across an entire document corpus, cutting review volume by up to 80% and completing productions in under an hour.
"What used to take our associates two weeks of full-time review, DecoverAI completed in forty minutes."
Emails, PDFs, Slack exports, Office files. Drag-and-drop or bulk ingest. Indexed and ready for review in minutes.
Responsiveness, privilege, confidentiality tagged across your entire corpus automatically. Review volume cut by up to 80%.
Bates-numbered docs, privilege log, redaction overlays. Fully audit-trailed. What used to take weeks, done in under an hour.
Every classification reviewable. Every redaction overridable. AI does the heavy lifting. You maintain full control.
Not all AI document review tools work the same way. The three dominant approaches differ in how they classify documents, how much attorney input they require to start, and how they improve over time.
Technology-Assisted Review trains on attorney decisions — documents marked responsive or non-responsive — and uses that seed set to rank the remaining corpus by predicted relevance. Requires a trained sample to begin; accuracy improves as more documents are reviewed.
Uses large language models to classify privilege basis, confidentiality level, and responsiveness across every document — without requiring a seed set. DecoverAI applies this approach, delivering first-pass results immediately after upload with no attorney pre-training required.
A variant of TAR where the model updates in real time as reviewers tag documents. Each tag improves the model's ranking for subsequent documents, making the system progressively more accurate across a long review.
30,000 documents reviewed in 3 days. 98% cost reduction.
A leading defense firm used DecoverAI for end-to-end production — privilege logs, Bates stamps, and redactions — saving $147K and 25 days versus a traditional contract attorney review. Read the case study →
CTL used DecoverAI to surface contractual clauses, identify deposition inconsistencies, and accelerate pre-trial strategy in a five-week jury trial.
Medical chronologies, record reviews, settlement demands, and interrogatory responses — all streamlined with DecoverAI.
Gregor Wynne Arney used DecoverAI to process over 1 million documents in a complex healthcare fraud and anti-kickback investigation.
A leading defense firm used DecoverAI for end-to-end production with privilege logs, Bates stamps, and redactions — saving $147K and 25 days.
DecoverAI rescued a defense team from catastrophic production failure — remediating Bates numbering, privilege logs, metadata, and redactions under federal scrutiny.
One price covers everything. Scales with data, not headcount. No seat fees, no enterprise tier, no contract. Most teams process 5–20 GB per matter for a $300–$1,200 all-in cost versus weeks of associate hours.