Cloud-native ediscovery and litigation software for law firms and corporate legal teams
DISCO is a cloud-native ediscovery platform for law firms and corporate legal teams.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.DISCO is a cloud-native ediscovery platform that helps legal teams process, review, and produce litigation evidence. Built by lawyers for law firms, corporate legal departments, and plaintiff practices, it combines fast document search with generative AI across the case lifecycle. Pricing is quote-based: a single per-GB rate on processed data covers ingest, processing, unlimited users, and unlimited use of Cecilia AI. Core capabilities include Cecilia Q&A, which answers case questions with cited documents; Auto Review, which screens roughly 32,000 documents per hour; AI deposition summaries organized by chronology and topic; and sub-second search with visual filters. The platform is SOC 2 Type 2 and ISO 27001 certified, GDPR compliant, and never trains AI models on client data. It best fits litigation teams that want document review, depositions, timelines, and legal holds in a single browser-based workspace. Alternatives include Relativity, Everlaw, and Logikcull.
Legal teams upload case data through DISCO's high-speed uploader, run early case assessment, and move into review directly in a browser. Searches return in under a second with visual filters, and reviewers work with tag predictions and AI scores that rank documents based on emerging tagging patterns. When review is done, the platform produces documents at roughly 25 minutes per million pages, while DISCO Hold manages legal holds and the deposition module handles transcripts, annotations, and chronologies for the same matter.
Cecilia AI is the platform's generative layer and is included with the hosting fee rather than sold as an add-on. Cecilia Q&A answers case questions with responses supported by cited documents and applies multi-step reasoning for deeper research; one-click document summaries also work on foreign-language files, and contextual definitions explain acronyms using only the case's own record. Auto Review runs AI first-pass review at about 32,000 documents per hour, deposition summaries are auto-generated by chronology and topic, and AI timelines assemble key case facts in minutes. Topic clustering and cross-matter AI carry structure and insights across cases, and DISCO states it never trains on or retains client data.
DISCO is aimed at law firms — including Am Law 200 practices — corporate legal departments, and plaintiff firms handling mass torts and class actions. Pricing is quote-based: a single per-GB rate on processed data replaces separate charges for ingest, processing, and user seats, and Auto Review is billed per document. In the ediscovery category it competes with Relativity, Everlaw, Logikcull, Nextpoint, and Reveal, setting its all-inclusive pricing and built-in generative AI against per-user and per-feature licensing models.
The platform is cloud-native SaaS that runs in Chrome, Edge, Firefox, or Safari with no on-premises install. Storage is unlimited, database templates standardize matter setup, and custom roles and permissions control access. Security certifications include SOC 2 Type 2 and ISO 27001; the platform is GDPR compliant, and data is encrypted in transit and at rest. Professional services span self-service, task-based, matter-based, and enterprise managed service tiers, with document review, forensics, and collections available as services.
Defines highlighted acronyms, words, or phrases using only the case's own documents.
Auto-generates deposition summaries organized by chronology and topic.
Summarizes long or foreign-language documents in one click.
Generates a case timeline summarizing key facts from the evidence in minutes.
Runs AI-powered first-pass document review at roughly 32,000 documents per hour.
Answers case questions with generative AI, returning responses supported by cited documents and multi-step reasoning for deeper research.
Suggests relevant tags during review and ranks documents based on emerging tagging patterns.
Automatically organizes documents by subject matter to speed up review planning.
Uploads and overlays ESI rapidly, with unlimited storage and database templates for consistent matter setup.
Produces documents at roughly 25 minutes per million pages.
Returns search results near-instantly and displays them with graphical filters for narrowing result sets.
DISCO Hold automates legal hold issuance and tracking, replacing manual hold workflows.
Pricing requires contacting the vendor for a quote. DISCO charges a single per-GB rate on processed data with no separate fees for ingest, processing, or users; unlimited Cecilia AI use is included, and Auto Review is billed per document.
A public ediscovery vendor you can defend to a board, if growth doesn't scare you.
“DISCO is a public, cloud-native ediscovery platform with generative AI included in the hosting fee. Slowing growth and a depressed valuation are the real questions, not the product.”
A public ediscovery vendor changes the risk math for a general counsel signing a multi-year contract. DISCO trades on the NYSE as LAW, went public in 2021, and still posts revenue growth near 14%. That's a name you can defend to a board without a slide.
The strategy question is sharper. Growth has cooled and the stock sits close to 1x ARR, so this isn't a momentum bet. But the product is real — DISCO Hold, acquired legal-hold tech, plus Cecilia AI bundled into the hosting fee instead of sold as an upsell.
Against Relativity's incumbency and Reveal's roll-up of smaller tools, DISCO's all-inclusive pricing is a genuine wedge. Pilot it on one matter, watch the per-GB invoice, then decide if it standardizes.
A real wedge against Relativity and Reveal, though not the category leader.
A listed vendor used by Am Law 200 firms is a safe, defensible board choice.
Browser-based with no install and per-GB simplicity shortens time to a first matter.
All-inclusive, AI-included pricing advances legal ops rather than just cutting cost.
Public on the NYSE since 2021, but a stock near 1x ARR and cooled growth temper durability.
Corporate legal teams who want a public vendor they can defend to the board.
Buyers who need a high-growth vendor with momentum on their side.
Generative AI lives inside the evidence record, and the per-GB bet compounds over years.
“DISCO puts Cecilia's generative AI inside the case record and prices everything on a single per-GB rate. That architecture rewards a practice that standardizes, but the quote-only pricing hides the curve.”
The strategic bet here is putting generative AI inside the evidence record instead of beside it. Cecilia Q&A answers case questions with cited documents and never leaves DISCO's own data, which matters when privilege and defensibility are on the line. For a litigation practice standardizing on one platform, that design choice compounds over years.
Per-GB pricing on processed data is the architectural commitment. It rewards disciplined culling and makes cross-matter economics predictable, and cross-matter AI carries tagging structure between related cases. The catch is quote-based pricing — you can't model the curve without a sales call.
Everlaw is the closest cloud-native peer, and Relativity still owns the enterprise default. DISCO's wedge is a single per-GB rate with Cecilia included, not metered per feature. Founded in 2013 and public since 2021, it's a durable enough bet for a three-year review stack.
A credible cloud-native challenger to Relativity with a clearer AI-included story than most.
A per-GB, AI-in-the-record model matches how litigation practices actually run matters.
Browser-native with database templates fits a legal stack, though it is a platform not a component.
Standardizing on per-GB creates predictable but quote-dependent economics over three years.
Cecilia's cited-answer design and cross-matter AI show real craft in the evidence layer.
Litigation practices who want to standardize on one cloud-native review platform.
Teams who need published pricing before committing to a stack.
One per-GB rate hides behind a sales call, and Auto Review is a separate meter.
“DISCO folds ingest, processing, users, and Cecilia AI into one per-GB rate, but publishes no number. Auto Review is billed per document, so the real budget risk sits outside the hosting fee.”
No published rate. DISCO prices on a single per-GB fee for processed data, and you won't see the number without a sales call. For a category where Relativity lists $11 to $13 per GB per month, that opacity is the first line item to question.
The model is honest where it counts. One per-GB rate folds in ingest, processing, unlimited users, and unlimited Cecilia AI — no SSO tax, no seat creep. But Auto Review bills per document, so a large first-pass review is a separate meter you have to forecast.
Global and family-level duplicates aren't charged, which trims the GB count that drives the bill. ROI is measurable if you track data volume per matter. The invoice risk lives in Auto Review, not the hosting line.
An all-inclusive rate simplifies procurement, but Auto Review's per-document meter adds a variable.
Quote-based deals mean terms are negotiated, with limited public detail.
No published per-GB rate; every quote requires a sales call.
Cost tracks measurable data volume per matter, so ROI is calculable.
One rate absorbs ingest, processing, and seats, with no-charge duplicates trimming volume.
Legal teams who can forecast data volume per matter.
Buyers who need published pricing before starting procurement.
Sub-second search and 32,000-doc-per-hour Auto Review make this a review desk that respects the clock.
“Sub-second search and AI tag predictions reorder a million-document matter toward what matters. Auto Review's per-document billing is the friction you feel when scoping, not the interface.”
Search that returns in under a second changes how a reviewer works a document set. You stop batching queries and start following threads, because the visual filters narrow a result set without a coffee break. On a million-document matter, that speed is the difference between review and archaeology.
Tag predictions and AI scores rank documents as your tagging patterns emerge, so the pile reorders itself toward what matters. Auto Review pushes first-pass at roughly 32,000 documents per hour, and production runs about 25 minutes per million pages. Logikcull can't touch that throughput at scale.
The daily friction is pricing opacity, not the interface — you feel the per-document Auto Review meter every time you scope a review. But sub-second search and browser-only access mean no VPN, no install, no waiting. That's a review desk that respects the clock.
Sub-second search and reordering tag scores hold up past the demo on real matters.
Support articles cover Cecilia features at a working-reviewer level.
The per-document Auto Review meter is a recurring scoping friction.
Tag predictions, AI scores, and cross-matter structure scale from reviewer to power user.
Browser-only review with no install fits a litigation desk's daily flow.
Review attorneys who work large document sets daily.
Small firms who run occasional low-volume matters.
No install and one-click Cecilia summaries make this legal software that respects your time.
“DISCO runs in four browsers with nothing to install, and Cecilia's one-click summaries and cited answers save real time. It's desktop-first with no mobile story and quote-only pricing, but it respects your day.”
No install, no VPN, no IT ticket — DISCO opens in Chrome, Edge, Firefox, or Safari and you're in the case. For a tool lawyers reach for under deadline pressure, that matters more than any feature list. Four browsers supported means nobody's locked out because they're on the wrong machine.
The Cecilia touches are where you feel someone thought about the day. One-click Doc Summaries that also work on foreign-language files, and contextual definitions that explain an acronym using only the case's own record — that's the small stuff that saves an afternoon. Cecilia answers come with citations, so you're not chasing ghosts.
The catch is it's desktop-first with no real mobile story, which is honest for a review tool but worth knowing. Pricing is quote-only, so there's no self-serve trial like Nextpoint offers. Still, this respects your time more than most legal software does.
Cecilia's one-click summaries and cited answers show attention to the working day.
Contextual definitions and AI scores ease a reviewer from first hour to fluent.
Web-only and desktop-first, honest for a review tool but no mobile product.
Browser-only access with no install lowers the first-use barrier.
SOC 2 Type 2 and ISO 27001 certifications signal a solid, trusted platform.
Legal professionals who want browser-based software with no setup.
People who want a self-serve trial before buying.
Public vendor with the right certifications, but a growth line that stalled after the 2021 IPO.
“DISCO's certifications and no-training-on-client-data stance are the honest answers legal buyers want. The stock near 1x ARR and cooled growth are the yellow flags the marketing site won't show.”
Public company, ediscovery, trading near 1x ARR. That's the number the marketing site won't show you. Growth around 14% isn't the trajectory a 2021 IPO promised, and there was a securities suit in 2023 over exactly that gap.
The product signals are more reassuring than the stock. SOC 2 Type 2, ISO 27001, and a clear line that they never train on client data — that's the right answer to the question every legal buyer asks. AI legal timelines assembled in minutes sounds great, but that's a claim I'd want to benchmark on my own matter.
Exit is the real question with per-GB lock-in. Your data lives in DISCO's format, and Relativity remains the incumbent you'd migrate toward. Still, a public vendor with named certifications is a defensible 3-year bet. Watch the growth line.
All-inclusive, AI-included pricing is a genuine gap versus Relativity's metered model.
Per-GB storage and DISCO's format make migration off a real project.
Public since 2021 with certifications, but the growth line needs watching.
Certifications and the no-training claim match what the product actually promises.
Slowing growth and a 2023 securities suit echo pre-stall patterns, not category winners.
Legal buyers who want a public vendor with named certifications.
Teams who need clean exit portability off per-GB storage.
Common questions answered by our AI research team
DISCO uses quote-based pricing with a single per-GB rate on processed data instead of published rates. The fee includes ingest, processing, unlimited users, and unlimited Cecilia AI use, while Auto Review is billed per document.
Cecilia answers case questions with responses supported by cited documents, summarizes long or foreign-language files in one click, and auto-generates deposition summaries by chronology and topic. It also builds AI timelines of key case facts in minutes.
No. DISCO states it never trains on or retains client data, and confidential data is never sent to train another company's model. The platform is SOC 2 Type 2 and ISO 27001 certified and GDPR compliant.
Auto Review screens roughly 32,000 documents per hour using AI-powered first-pass review. Document production runs at about 25 minutes per million pages once review is complete.
DISCO is a cloud-native SaaS platform that runs in Chrome, Edge, Firefox, or Safari with nothing to install. Storage is unlimited and database templates automate consistent matter setup.
