Litigation boutiques
Run document review, privilege analysis, redaction, and production without building a dedicated eDiscovery operations team.
Independent tool overview
DecoverAI at a glance
DecoverAI is an AI-powered legal discovery platform that helps litigation and in-house legal teams classify, review, redact, and produce case documents.
Visit the official DecoverAI site ↗
- Best for
- Litigation teams handling discovery and productions
- Public price
- $60 per GB per month
- Pricing model
- Usage-based with no public seat fee
- Security
- SOC 2 Type II and HIPAA compliant
- Human review
- Attorney verification remains required
Overview
What DecoverAI is
DecoverAI is built for legal discovery rather than general-purpose legal writing. Teams can upload matter documents, classify them for responsiveness, privilege, and confidentiality, review the AI's decisions, apply redactions, generate a privilege log, add Bates numbering, and export a production package.
The platform also supports earlier-stage analysis such as chronologies, evidence exploration, early case assessment, internal investigations, and trial preparation. Its most distinctive commercial model is usage-based eDiscovery pricing instead of the seat-heavy enterprise contracts common in the category.
Because the material may be privileged or outcome-determinative, DecoverAI should accelerate attorney review rather than replace it. The company's terms explicitly require customers to supervise and verify AI-generated research, analysis, and summaries before professional reliance.
Use cases
Who DecoverAI is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
In-house legal teams
Respond to subpoenas, investigations, and time-sensitive document requests with a workflow priced by data volume.
Matter teams with sensitive records
Use audit trails, role controls, encryption, and available HIPAA safeguards for privileged or regulated material.
Capabilities
Core DecoverAI features
AI document classification
Classifies documents for responsiveness, privilege, and confidentiality while leaving decisions reviewable by the legal team.
Privilege review and logs
Assists with privilege detection and generates an exportable privilege log for the production workflow.
Redaction and Bates numbering
Detects material for redaction, lets attorneys override decisions, and applies firm-specific Bates conventions at export.
Chronology and evidence analysis
Surfaces events, facts, relationships, and themes across matter documents for case assessment and preparation.
Court-ready production
Combines reviewed documents, burned-in redactions, numbering, logs, and an audit trail into a production package.
Enterprise security options
Advertises SOC 2 Type II controls, HIPAA compliance, SSO, MFA, role-based access, encryption, and private deployment options.
Process
How the DecoverAI workflow works
Step 1
Create a matter and upload data
Import the documents that need to be analyzed or produced and confirm the handling requirements for privileged or regulated data.
Step 2
Configure review criteria
Set the matter's responsiveness, confidentiality, privilege, redaction, and production conventions.
Step 3
Review AI-assisted decisions
Inspect classifications, evidence, proposed redactions, and privilege calls; attorneys can change the system's decisions.
Step 4
Prepare and validate production
Generate the privilege log, apply Bates numbers and redactions, check the audit trail, and perform final legal quality control before export.
Cost
DecoverAI pricing and free plan
DecoverAI publicly lists flat eDiscovery pricing of $60 per GB per month with no seat fees or public contract requirement. Its legal terms also contemplate order forms, subscriptions, capacity limits, and possible trials, so teams should confirm matter-specific terms directly.
eDiscovery
$60 per GB per month
Usage-based access to the core review and production workflow.
- No public seat fee
- AI classification for responsiveness, privilege, and confidentiality
- Privilege log, Bates numbering, redactions, hosting, and audit trail
- Confirm any order-form, capacity, or enterprise deployment terms with DecoverAI
Pricing checked . Check current pricing at the source ↗
Assessment
DecoverAI strengths and limitations
Where it stands out
- Combines discovery review and production tasks in one legal-specific workflow
- Public usage-based price is easier to estimate than opaque seat-based enterprise pricing
- Attorney-overridable classifications and redactions preserve human control
- Security program is designed for privileged and healthcare-related matter data
What to consider
- Costs rise with uploaded data volume, so large or poorly culled matters still require careful scoping
- AI classifications, legal research, and summaries require qualified attorney review before reliance
- Some deployment, integration, or enterprise terms may require direct sales coordination
- It is specialized for legal discovery and is not a replacement for a full contract-lifecycle or general legal-practice platform
Compare
DecoverAI alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Legal
Harvey Agents
Consider Harvey when the priority is broader legal drafting, diligence, research, and agentic work rather than a focused eDiscovery production stack.
Explore Harvey Agents →Legal
Leya
Consider Leya for firm-wide legal research and workflow assistance across a wider range of legal work.
Explore Leya →Legal
fynk
Consider fynk when contract creation, review, approval, and lifecycle management are the primary need.
Explore fynk →Questions
DecoverAI FAQs
What is DecoverAI used for?
It is used to analyze case documents, classify them for discovery, review privilege and confidentiality, redact sensitive material, generate privilege logs, apply Bates numbering, and prepare productions.
How much does DecoverAI cost?
The public eDiscovery offer is $60 per GB per month with no public seat fee. Matter-specific subscriptions, capacity, integrations, or private deployments may carry separate terms.
Does DecoverAI replace attorney review?
No. Its classifications and redactions are reviewable and overridable, and the company's terms require customers to supervise and verify AI-generated work before professional reliance.
Does DecoverAI train on customer documents?
DecoverAI says customer documents are not used to train, fine-tune, or improve its models. Legal teams should still review the current DPA, subprocessor list, retention controls, and deployment terms before uploading matter data.
Is DecoverAI suitable for healthcare-related litigation?
The company advertises HIPAA compliance and says a business associate agreement is available on request. Teams should confirm that their selected configuration and internal workflow satisfy their own legal and security requirements.
Bottom line
Our DecoverAI verdict
DecoverAI is a compelling option for litigation and in-house teams that want an integrated, usage-priced path from document upload through reviewed production. Its public $60-per-GB price and strong security claims make evaluation straightforward, but legal teams still need disciplined data scoping, contract review, and attorney validation of every material output.
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