ooligo

DISCO

ediscovery ai-native-ediscovery · cloud-review · deposition-prep · case-management
AI-NATIVE API
Legal Ops
8.0 /10

What it is

DISCO is the cloud-native, AI-first eDiscovery platform built to challenge Relativity’s long-standing dominance in the review tier. Founded in 2013, DISCO went public in 2021 and has consistently led on review-speed benchmarks and on usability — the platform AmLaw associates actually want to use rather than the platform forced on them. Cecilia AI (DISCO’s generative-AI layer) handles document classification, deposition prep, and case-narrative construction.

  • Speed over feature checklist. DISCO consistently benchmarks faster on document review throughput than Relativity — material when review is the cost center of eDiscovery.
  • AI-first review. Cecilia AI does first-pass review at quality competitive with junior contract attorneys on common tagging tasks (responsive, privileged, hot). Material cost reduction at scale.
  • Better UX. The interface assumes the user is a 2026-vintage attorney, not a 2012 contract reviewer. Onboarding new reviewers takes hours, not weeks.

Pricing

  • Custom, per-matter. DISCO traditionally prices per gigabyte of hosted data plus per-user review licenses, with significant volume discounts at the firm or in-house program scale.
  • Subscription pricing for enterprise programs. Large in-house programs negotiate annual contracts with predictable run-rate.
  • Pilot pricing common on a single matter before broader rollout.

Best for

  • Plaintiff and defense litigation practices running cloud-native cases
  • Mid-market and enterprise in-house legal programs that have outgrown self-service eDiscovery (Logikcull) but want better UX than Relativity
  • Firms running cases with material AI-assisted-review components where review-quality validation matters

Watch-outs

  • Smaller installed base than Relativity — for cases with court-mandated platform requirements or specific opposing-counsel coordination needs, Relativity may still be required
  • Less mature on certain enterprise eDiscovery edge cases (foreign-language review, audio/video heavy productions, certain legal-hold integrations)
  • AI-assisted-review disclosure norms are still settling in courts; verify the production-side disclosure requirements before relying on Cecilia at scale
  • Direct competition with Everlaw on “AI-native, modern UX” positioning — both lead on these dimensions; differentiator is often workflow specifics