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disARM bridges the gap between a cold Relativity archive and actionable data, without the SQL overhead. Peek inside, validate, and export from any ARM archive on a single workstation.
Every consultancy says it can build software. Almost none will show you something they shipped. disARM is ours: we hit a workflow that off-the-shelf tools handled badly, ran our own Discovery on it, and assembled the fix.
Restoring a Relativity ARM archive used to mean standing up a SQL server, waiting hours, and hoping the contents were what you expected. disARM does it on one workstation in about five minutes, tells you what is inside before you commit, and wipes the temporary data when you are done.
Real-time parsing and SQL LocalDB orchestration, with a running log of every step taken.
Document and image counts, missing-file alerts, and integrity checks before you export.
Concordance (.DAT) and Opticon (.OPT) load files plus a manifest, configured in one pass.
Quick scout
Instantly parses ArchiveInformation.xml. Relativity versions, client and matter details, and repository health the moment you select a folder. No restore required.
Isolated local restore
Automated SQL LocalDB integration restores workspace data into a sandboxed local database. High speed, local only, zero footprint on your production servers.
Health & integrity dashboard
Automated document and image counts, missing-file alerts, and real-time logging. Know exactly what is there, and what is missing, before you begin an export.
One-click export & cleanup
Generates Concordance (.DAT) and Opticon (.OPT) load files plus a manifest. When you are finished, one click wipes the temporary data and reclaims the disk.
Hours to minutes. Time-to-data drops from five hours or more to about five.
Entirely local operation with persistent audit logs. Nothing is uploaded anywhere.
Cuts SQL and cloud infrastructure spend. No server to stand up for a look inside an archive.
No DBA required. It runs on a single forensic workstation.
We are onboarding a small group of eDiscovery and forensics teams for v1.0. Leave your details on the disARM site and we will follow up with an access link and a short survey to shape the roadmap.
