Overview
DISCO is an AI-native e-discovery and legal operations platform that applies machine learning across the entire discovery workflow — not just in technology-assisted review. DISCO's AI automatically clusters documents, identifies privilege, surfaces hot documents, and highlights inconsistencies across a production. The platform covers the full EDRM model from legal hold through production. DISCO also offers Cecilia AI, a conversational AI assistant for legal research and document analysis. The company has invested heavily in reducing the cost per gigabyte for processing and storage, making it competitive for price-sensitive mid-market matters. DISCO is a public company (NYSE: LAW) with enterprise contracts for large firms alongside self-service access for smaller matters. DISCO's pricing model combines a monthly platform fee with per-gigabyte charges for data storage and processing — competitive at mid-market volumes but costs can escalate on large-data matters. Cecilia AI, DISCO's conversational assistant, answers natural language queries against the document set and drafts communication work product. The company has invested in its government segment, with FedRAMP authorization for agencies with security requirements. A self-service tier allows smaller firms to access DISCO for single matters without an enterprise contract.
Key features
AI-Assisted Review
DISCO's AI continuously learns from reviewer coding decisions and predicts responsiveness, privilege, and issue tags for unreviewed documents. Accuracy improves throughout the review cycle, reducing attorney review hours on large matters.
Processing and Collection
Processes raw ESI from collections across email, cloud storage, and messaging platforms. Extracts metadata, deduplicates, and applies culling filters.
DISCO Case Builder
Connects e-discovery review to case preparation. Attorneys build case timelines, organize key documents, and prepare deposition outlines within the platform — similar to Everlaw's Storybuilder.
Document Review
High-performance review interface with batch coding, redaction, privilege logging, and AI-driven prioritization. Search returns results in milliseconds even on large data sets.
Productions
Configurable productions with Bates numbering, redaction, slipsheets, and multiple output formats.
Legal Hold
Automated legal hold management with custodian notification, acknowledgment tracking, and hold escalation workflows.
Pros and cons
Pros
- AI-first design — DISCO's AI models predict responsiveness and privilege with higher accuracy than bolt-on analytics
- DISCO Case Builder connects document review to case strategy and deposition preparation
- Modern interface with the fastest search performance in the category for large data sets
- Integrated collection, processing, and review eliminates multi-vendor handoffs
- Cloud-native with no on-premises option — fast deployment without infrastructure setup
Cons
- Usage-based pricing is not publicly disclosed — budgeting requires a sales conversation
- Smaller installed base than Relativity — less co-counsel interoperability
- Case Builder and more advanced features add to cost
- AI predictions require attorney validation — not suitable for fully automated review decisions
- Some experienced e-discovery practitioners find Relativity more configurable for complex workflows
Pricing
Pricing current as of May 2026; verify with vendor before purchasing.
Who it's best for
Best fit for
- Litigation teams that want AI at the core of their document review workflow from the start
- Mid-size and large firms doing frequent complex litigation with high document volumes
- In-house legal teams managing complex investigations where speed and AI accuracy matter
- Attorneys who want integrated case strategy preparation alongside document review
Not a fit for
- Small firms with occasional low-volume reviews (use Logikcull)
- Matters where Relativity is the mandated shared platform
- Teams that need the broadest certified partner ecosystem
Frequently asked questions
DISCO does not publicly disclose current pricing. It uses a usage-based model. Contact DISCO for a project-specific or firm-level estimate.
DISCO is AI-first with a more modern interface; Relativity is the industry standard with a larger partner ecosystem. DISCO is better for teams that want AI at the core without add-on modules. Relativity is better when co-counsel standardization and certified partner support are priorities.
Both are modern cloud e-discovery platforms competing for the same market. DISCO has stronger AI review capabilities; Everlaw has the Storybuilder trial prep feature. Pricing is comparable. Choice often comes down to team preference and trial feature priorities.
Contact DISCO sales for trial and demo access.
DISCO is better suited for mid-size to large firms than Relativity, but the usage-based pricing can still be significant. Small firms with occasional review needs may find Logikcull more cost-effective.