ROC EvidenceDigital Evidence
Management
System

Everything a modern case produces, ingested once and processed in parallel:

• Device extractions - cellphone and computer forensic outputs from the third-party tools your lab already uses
• Provider returns - social media, email, and carrier records, plus cloud backups and geolocation data
• Video - body-worn camera, CCTV, and surveillance footage from mixed legacy and modern equipment
• Documents, images, messages, and loose media

Source hierarchy and metadata are preserved on every item, so nothing arrives stripped of its forensic context. One case file, one search - no more stitching an investigation together across disconnected tools.

By making it impossible to lose. Original source metadata and file hierarchy are preserved at ingestion, every subsequent action - view, tag, annotation, export - lands in the activity log, and the complete audit trail is available the day the defense challenges it. When a case is reopened years later, the evidence and its custody record are exactly where they were left: nothing is overwritten, and the record of who touched what, when, survives personnel turnover and system migrations. Productions go out Bates-stamped and audit-ready, which is precisely why the platform was trusted for federal prosecution work.

The heavy lifting happens before an investigator opens the case. At ingestion, ROC Evidence automatically detects and tags faces, vehicles, license plates, pedestrians, and objects across the entire collection, de-duplicates high-volume media, and runs OCR so messages, emails, social posts, and documents become searchable text. On the video side, investigative AI clusters recurring identities, connects appearances across locations and timelines, and surfaces patterns of life - the work that used to mean scrubbing hours of footage by hand. Extensible integrations add LLM-powered enrichment, audio transcription, and multilingual translation where enabled.

No other DEMS has them natively - and ROC's are independently benchmarked by NIST, not self-reported. Face recognition ranks in the global top tier of NIST FRVT with near-zero error-rate differences across demographic cohorts. Latent fingerprint search earned the #1 global NIST ELFT ranking, returning results in about 15 seconds where the next-fastest provider needs around 42 minutes. Tattoo recognition leads NIST Tatt-E at forensic-grade thresholds. In practice this means an unknown face in CCTV footage, a print from a device, and a booking record connect inside the evidence workflow - at the scale of ROC's largest federal deployment, a 500M-template gallery.

Source: NIST FRVT, ELFT, Tatt-E -

More: roc.ai/abis

Yes - and the difference from most evidence platforms is who holds the keys. ROC Evidence is designed for sovereign deployment inside your agency's own private Microsoft Azure tenant: the vendor never takes custody of your evidence, because government evidence should remain under government control. Secure Azure, hybrid, and fully on-premises models are supported at identical performance, and Azure Marketplace private offerings let agencies procure through existing authorities to operate instead of a new contracting cycle.

ROC Evidence was selected by the U.S. Department of Justice to support the ingestion, review, analysis, and production of eDiscovery content for federal prosecutions - high-volume cellphone, social media, and digital evidence, under deadline. The same workflow is built into every deployment: privilege review and redaction inside the evidence workspace, tagged review sets for team-based case preparation, and Bates-stamped, audit-ready production packages. Attorneys, investigators, and experts work the same case simultaneously instead of e-mailing exports between a forensic tool and a separate eDiscovery platform.

Yes. The platform is deliberately built on open, non-proprietary data formats - including an open JSON schema - so it complements the commercial and government off-the-shelf (COTS/GOTS) tools an agency already owns rather than replacing them. Extraction reports, lab outputs, and provider returns flow in; open-format exports flow out to case management and court systems. The strategic point is bigger than any single integration: your agency keeps long-term control of its evidence, workflows, and data - and if you ever leave, your evidence leaves with you. No proprietary formats holding your cases hostage.

The same platform runs from a county agency's first DEMS to large-scale federated systems:

• Local, state, and federal law enforcement - replacing single-license, workstation-bound tools with shared casework
• District attorneys and government legal teams - chain-of-custody, discovery, and production requirements at federal rigor
• Law firms and litigation teams - collaborative review for evidence-heavy litigation
• Fusion centers and intelligence operations - link analysis and identity clustering across cases and partner agencies
• Interagency and federated deployments - shared evidence, while each partner keeps custody and control of its own data

Source hierarchy and metadata are preserved on every item, so nothing arrives stripped of its forensic context. One case file, one search - no more stitching an investigation together across disconnected tools.

Most digital evidence management software is storage with a review interface: your evidence sits in the vendor's cloud, in the vendor's formats, analyzed by third-party add-ons. ROC Evidence inverts all three. It deploys in your own Azure tenant, so the vendor never holds your evidence. It runs on open, non-proprietary formats, so there is no lock-in to leave behind. And its intelligence layer - NIST-ranked face, fingerprint, and tattoo recognition plus native video analytics - is the platform, not a plug-in. Built, owned, and supported entirely in the United States, selected by the U.S. Department of Justice for federal prosecution eDiscovery, and hardened through critical incidents and multi-jurisdictional investigations.