1M+
Documents reviewed across corporate matters
SOC 2 Type II
+ HIPAA
Compliance certifications for regulated industries
Flat-rate pricing, no per-seat surprises
Platform Fit
In-House vs. Law Firm eDiscovery Needs
Most enterprise eDiscovery platforms were built for law firms: high-margin single matters, junior associate review hours, and billable pass-through to clients. In-house legal operations run on fundamentally different economics. Budget is fixed, matters recur, and data never leaves the enterprise perimeter.
Traditional Law Firm Platform
Built for one-off matters
Matter Volume
Single-matter orientation. Each project is siloed, billed separately, and closed out when the case ends.
Pricing
Usage-based or per-seat with volume tiers. Costs spike unpredictably during active review periods.
Data Control
Data lives in outside counsel's hosted environment. In-house team has limited visibility into where data sits.
Compliance Burden
Compliance attestations belong to the vendor or law firm. In-house teams inherit risk without direct oversight.
DecoverAI — Built for In-House
Built for recurring internal matters
Matter Volume
Multi-matter management from a single dashboard. Run HR investigations, M&A diligence, and regulatory response simultaneously without re-onboarding.
Pricing
$60/GB flat rate with no per-reviewer seat fees. Finance can model discovery costs before a matter opens.
Data Control
Single-tenant deployment available. Your data never commingles with other organizations. Native connectors to M365, Google Workspace, and Slack.
Compliance Burden
SOC 2 Type II and HIPAA certifications that your legal ops team can point to directly. Full audit trail for every action in the platform.
Vendor Comparison
Top eDiscovery Vendors for Corporate Legal
The table below compares the platforms most frequently evaluated by corporate legal departments and legal operations teams. Columns reflect the dimensions that matter most for in-house use: pricing model transparency, whether the platform was designed for in-house rather than law firm use, compliance posture, multi-matter support, and self-serve onboarding.
| Vendor |
Pricing Model |
In-House Focused |
SOC 2 / HIPAA |
Multi-Matter |
Self-Serve |
| DecoverAI |
$60/GB flat rate |
✓ Purpose-built |
✓ Both |
✓ Native |
✓ Yes |
| Relativity |
Per-GB + per-user |
Law firm primary |
✓ SOC 2 |
✓ Yes |
Requires admin |
| Everlaw |
Per-user per-month |
Law firm primary |
✓ SOC 2 |
✓ Yes |
✓ Partial |
| Casepoint |
Negotiated enterprise |
Neutral |
✓ SOC 2 |
✓ Yes |
Implementation req. |
Security & Compliance
Compliance & Data Governance
Corporate legal departments operate under stricter data governance requirements than law firms. Client data, employee records, and merger communications carry regulatory and fiduciary obligations that require more than a vendor's self-attestation. DecoverAI is built to meet those obligations directly.
- SOC 2 Type II certified — annual third-party audit of security controls across access, availability, and confidentiality
- HIPAA compliant hosting — suitable for matters involving protected health information (employment, benefits, M&A)
- No AI training on client data — your documents are never used to improve models or shared with other customers
- Single-tenant deployment option — fully isolated infrastructure with no cross-customer data commingling
- Full audit trail for regulatory productions — every review action, tag, and export is logged with timestamp and reviewer identity
- GDPR-compatible data handling — data residency controls and deletion workflows for global corporate operations
- Role-based access controls — matter-level permissions so HR investigations stay separate from litigation review teams
For regulated industries including financial services, healthcare, and defense contracting, DecoverAI can provide compliance documentation directly to your information security and legal ops teams.
Use Cases
Common Corporate eDiscovery Scenarios
In-house legal teams encounter a predictable set of discovery triggers each year. The difference between a vendor built for corporate legal and one built for law firms shows most clearly when these matters overlap — when a DOJ inquiry lands the same quarter as an active employment dispute and a pending acquisition.
Regulatory Response
DOJ / SEC Subpoena Response
Rapid collection from enterprise connectors, AI-powered privilege review, Bates stamping, and structured production export with full audit trail. Designed to meet agency deadlines without outside counsel dependency.
Internal Investigations
Internal HR Investigations
Confidential matter isolation with role-based access controls. Collect from email, Slack, and device backup. AI classification surfaces relevant communications while preserving chain of custody for potential litigation hold.
Corporate Transactions
M&A Due Diligence
Index and review target company documents at scale. AI-native relevance detection accelerates privilege identification across large volumes. Structured export supports deal room handoff to outside counsel.
Employment Matters
Employment Litigation
Custodian-level collection from enterprise messaging and HR systems. Multi-matter management keeps recurring employment disputes organized in a single platform without re-onboarding for each new claim.
Frequently Asked Questions
Questions from In-House Counsel
What separates the leading eDiscovery vendors for corporate legal departments?
The most important differentiators for in-house teams are pricing transparency, multi-matter management, compliance posture, and native enterprise data connectors. Platforms built primarily for law firms charge per reviewer seat or per-GB with opaque volume tiers — both of which make budget forecasting difficult for in-house legal ops. Vendors like DecoverAI that are purpose-built for corporate legal offer flat-rate pricing, integrated compliance certification, and self-serve matter setup that doesn't require an implementation project for every new case.
How is eDiscovery for in-house counsel different from law firm eDiscovery?
In-house legal teams face recurring matters that law firms treat as one-off engagements. An in-house team may have five active matters at once — a DOJ inquiry, an employment dispute, an M&A review, a contract dispute, and a regulatory audit — each with different custodians and data sources. They also own the data governance obligation directly; they cannot simply hand data to outside counsel and disclaim responsibility. Platforms built for law firms tend to optimize for single-matter depth rather than multi-matter efficiency, and their pricing structures reflect billable-hour economics rather than fixed legal ops budgets.
Is DecoverAI SOC 2 Type II and HIPAA compliant?
Yes. DecoverAI holds SOC 2 Type II certification, meaning an independent auditor has reviewed the platform's security controls annually — not just a self-attestation. The platform is also HIPAA compliant, which matters for corporate legal teams handling employment benefits disputes, healthcare M&A, or matters involving employee health records. Compliance documentation is available to information security teams as part of vendor onboarding.
What does DecoverAI charge for corporate eDiscovery?
DecoverAI charges $60 per GB of processed data, with no per-reviewer seat fees and no separate charges for AI features,
privilege log generation, or production export. This flat-rate structure is designed specifically for in-house legal ops teams that need to give finance a number before a matter opens — not reconcile a surprise invoice after review closes. Volume pricing is available for organizations with predictable annual data volumes.
Can DecoverAI connect to Microsoft 365, Google Workspace, and Slack?
Yes. DecoverAI connects natively to Microsoft 365 (including Exchange, Teams, and SharePoint), Google Workspace (Gmail and Drive), Slack, Dropbox, OneDrive, and S3-compatible storage. This means in-house teams can initiate a legal hold and begin collection directly from within DecoverAI, without manual exports or IT-mediated PST transfers. The connectors also support recurring collection schedules for ongoing regulatory monitoring.
Does DecoverAI train its AI on client documents?
No. DecoverAI does not use client documents, matter data, or review decisions to train AI models. Each customer's data is isolated, and the AI models used for relevance detection, privilege classification, and document analysis are trained on general legal corpora — not on other customers' matters. For organizations requiring maximum data control, single-tenant deployment ensures no infrastructure is shared with other customers at any layer.
How does DecoverAI handle DOJ or SEC subpoena response for corporate legal teams?
DecoverAI supports end-to-end regulatory subpoena response: litigation hold notices to custodians, collection from enterprise connectors, AI-powered relevance and privilege review, redaction, Bates stamping, and structured production export in formats required by DOJ, SEC, and other agencies. Every step is logged in a tamper-evident audit trail. The platform is designed so in-house teams can manage most of the production workflow without outside counsel involvement, reducing per-matter costs significantly.