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For a matter of a few thousand to a few tens of thousands of documents, reviewed by one person or a small team, Case loads the email and documents, finds the duplicates and the threads, searches them with Boolean and proximity searches, codes and redacts them, and produces them with Bates numbers and a Concordance DAT and Opticon OPT that Relativity and Everlaw import. It runs in the browser on your computer, so the documents stay there and there is no charge per gigabyte. It is part of OBSCURA Pro, not free. For a large matter, many reviewers working at once, or analytics and technology-assisted review, a hosted platform is still the right tool, and this page says where the line falls.

What the hosted platforms are

RelativityOne is the cloud version of Relativity, the platform much of the litigation-support industry is built on. It is sold by data volume, largely through service providers, and its strength is scale: very large matters, many reviewers, analytics, and a large ecosystem of people trained on it.

Everlaw is a cloud review platform that describes its pricing as based on the amount of data hosted, with unlimited users. It is often recommended to smaller firms as easier to learn than Relativity.

Logikcull, now part of Reveal, has been sold to small firms for longest, with storage-based and matter-based plans and an upload-and-review workflow that needs little training.

All three keep the matter on the vendor’s servers, which is what lets many people review the same documents at once and lets the vendor run analytics over them. It is also why their prices are measured in gigabytes and months: the vendor is storing the data for you. Prices are quoted to each firm and change, so none are given here; each vendor’s own pricing page is the place to check.

Side by side

The hosted platforms as they describe themselves, and Case as it is, on 30 September 2026. The hosted platforms do far more than one row can say; the table is about the jobs a small matter needs.

Relativity, Everlaw, LogikcullCase
Where the documents are keptOn the vendor’s serversIn the browser’s storage on your computer, and in a case file you save
How it is pricedBy data hosted, by matter or by plan, quoted to each firmUS$2 a month or US$19 a year on its own, or US$5 a month or US$48 a year in OBSCURA Pro, 7 days free; no charge by volume
Email and documents inMost formats, including forensic images and audio or video on someEML, MSG, MBOX, PST, OST, winmail.dat, PDF, Word, Excel, PowerPoint, text, web pages, pictures and zips
Duplicates and threadsYes, with near-duplicates on mostExact duplicates across the case and per custodian, near-duplicates grouped by their words, threads from the message ids, and inclusive emails marked
SearchBoolean, proximity, fields, and concept search on mostBoolean, phrases, w/N and pre/N, wildcards, fuzzy words, regular expressions and fields, with a search term report; concept search and related words
ReviewersMany at once, on one copyOne per browser; a second reviewer works on a copy and their coding is merged back
Analytics, technology-assisted review, AIYes, on most plans or as extrasActive learning with cross-validated figures and a recall estimate, clusters, categories and languages, worked out on your computer; no AI summaries
Redaction and productionsYesYes: burned into TIFF or JPEG pages with Bates numbers, DAT, OPT, text, natives, a production log and a privilege log
How large a matterVery largeTested to about 52,000 documents; 10,000 is comfortable

Sources, as read on 30 September 2026: the vendors’ own descriptions of their products and pricing, and their help pages on productions and load files. Where a cell says “on most”, it depends on the plan or the service provider.

What Case does

  • Loads a matter by custodian. Mailboxes and folders are dropped on the Load screen and given control numbers with your prefix. An email’s attachments are numbered straight after it, in its family. A file that cannot be read is still listed, with the reason.
  • Finds duplicates and threads. Every document gets a SHA-256 and an MD5. The same email saved from two mailboxes is recognised by what it says, not by the file it came in, and threads are rebuilt from Message-ID, In-Reply-To and References.
  • Searches, and reports on the searches. steel w/5 delay, "site meeting", negligen*, from:hollis-law.example. The search term report gives each search’s documents, hits, families and unique documents, which is what is argued over when search terms are negotiated.
  • Codes by key. Responsive, Not responsive, Privileged, Hot, Confidential and tags of your own, with notes, and a privilege screen that flags documents naming your lawyers or their firms’ domains for a person to check.
  • Redacts and produces. Boxes on a PDF’s page or passages of any other document’s text, each with a reason, kept apart from the original. A production numbers every page, paints the redactions solid black into the pictures of the pages, takes redacted words out of the text files, and writes the DAT and OPT a receiving party loads.
  • Keeps a record. Every load, coding change, redaction, production and merge goes into an audit trail, each entry chained to the one before it by SHA-256, and a chronology, a people map and exhibit bundles are built from the same documents.

Case’s own page has a short film of it at work on its sample, an invented construction dispute, and the full list of what it reads.

When a hosted platform is the right choice

  • The matter is large. Case has been measured at 52,534 documents, loaded, indexed and analysed in about four minutes, and that is as far as it has been tested. Hundreds of thousands of documents belong on a platform built for them.
  • Several reviewers need the same documents at once. Case has no server, so there is no shared database: a second reviewer is handed a copy, and their coding is merged back with every conflict shown. That works for two or three people; it is not a review team of twenty.
  • You need AI. Near-duplicates, inclusive emails, active learning, clusters, concept search and categories are here, as classical arithmetic on the documents’ words in your browser; AI summaries and answers are not, because they would need a model and a server.
  • The data is not email and office documents. Forensic images, chat exports, audio and video are not read, nor an old Office file protected with a password.
  • Someone else should hold the data. With Case the documents are on your computer, and so are the backups. Clearing the browser’s data for the site clears the case, so the case file has to be saved, as any desktop program’s file would be.

Why keeping it on your computer matters for a small matter

A small matter has the same obligations as a large one and a smaller budget. With a hosted platform, the cost of review depends on how much data is collected and how long it stays, and a client’s documents sit with another company, under its security and its terms. With Case, the documents are read in the browser tab, in workers of its own, and kept in the browser’s storage on your disk. Nothing about them reaches this site; the only thing its server ever sees is the Pro key.

The productions still go to the other side in the form they expect. The load files are the Concordance DAT and Opticon OPT that Relativity, Everlaw and Concordance import, so a party on a hosted platform loads a Case production as it would any other.

What it costs

Case on its own is US$2 a month or US$19 a year; all of OBSCURA Pro is US$5 a month or US$48 a year. Each comes with 7 days free first. The price does not change with the size of the matter or how long it is kept. For a team, each person needs a plan of their own. Pro also covers PDF Studio and the site’s other paid applications. There is no free version of Case with features held back: without Pro, its page shows what it does and asks for a plan.

See it before you pay. Case’s page shows it at work on the sample and lists, before anything else, what it cannot do yet.

Questions people ask about A Relativity, Everlaw or Logikcull alternative for a small firm’s matter

Is there an alternative to Relativity or Everlaw for a small firm?

For a matter of a few thousand to a few tens of thousands of documents, yes. Case loads the email and documents, finds duplicates and threads, searches with Boolean and proximity searches, codes, redacts and produces with Bates numbers and DAT and OPT load files, in a browser tab on your own computer. It is part of OBSCURA Pro. It is not a replacement for a hosted platform on a large matter or with many reviewers at once.

Does Case charge by the gigabyte?

No. The documents are kept in the browser’s storage on your computer, not on a server, so there is nothing to host and nothing to charge by volume. Case is US$2 a month or US$19 a year on its own, or part of OBSCURA Pro at US$5 a month or US$48 a year, whatever the size of the matter.

Can a Case production be loaded into Relativity or Everlaw?

Yes. A production has Bates numbered TIFF or JPEG pages, text files, natives where you choose, a Concordance DAT and an Opticon OPT, which are the load files Relativity, Everlaw and Concordance import.

Can several people review the same case at once?

Not at the same time on one copy. There is no server holding a shared database. A case, or a review set from it, is handed to a second reviewer as one file; they code it in their own browser and send back a coding file, which is merged with every conflict shown. That suits two or three reviewers, not a large team.

How large a matter can it handle?

It has been measured at 52,534 documents, 86 MB of email and documents, loaded, indexed and analysed in about four minutes on a four-core computer, and that is as far as it has been tested. Ten thousand documents is comfortable. Past fifty thousand, split the matter or use a hosted platform.

Does it do technology-assisted review or AI?

Technology-assisted review, yes; AI, no. Case ranks what is not coded by how likely it is to be responsive, learning from your coding as you go (logistic regression on the documents' words, as continuous active learning does), shows its cross-validated precision and recall, and estimates recall from an elusion sample for a stopping report. It also clusters documents, finds documents like one by meaning, suggests categories and tells languages apart. All of it is worked out in your browser from an index built there; nothing is sent to a model or a server, and there are no AI summaries.

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