Every piece of evidence.
Unbreakable.

Modern investigations generate evidence from dozens of sources simultaneously. A single traffic stop may produce body-worn camera footage from two officers, dash-cam video from the patrol vehicle, 911 audio from dispatch, cell phone photos from a bystander, and surveillance footage from a nearby business. Each source arrives in a different format, from a different device, at a different time. Vault's ingestion engine accepts all of them — 255+ file formats including MP4, MOV, WAV, HEIC, PDF, PCAP, E01, and forensic extraction bundles from Cellebrite and GrayKey — and normalizes them into a unified, searchable repository within seconds. Every file receives an automatic SHA-256 integrity hash at the moment of ingestion, timestamped and sealed before any human touches it. Metadata — GPS coordinates, device serial numbers, officer badge numbers, case identifiers — is extracted and indexed automatically. Bulk ingestion handles entire body-cam docking station uploads unattended overnight.

Chain of custody is the single most attacked element of digital evidence in court. Defense attorneys challenge who accessed the file, when, from where, and whether it was modified between collection and presentation. Vault eliminates every attack vector. Every action — view, download, copy, export, share, annotate, redact — generates an immutable log entry with the user's identity, timestamp, IP address, device fingerprint, and the specific hash state of the file before and after the action. WORM (Write Once, Read Many) storage prevents retroactive modification of audit records. If a file is copied for analysis, the copy receives its own chain of custody while maintaining a cryptographic link to the original. If evidence is transferred between agencies, the handoff is logged on both sides with bilateral hash verification. Vault's custody engine has survived Daubert challenges in 47 state and federal jurisdictions without a single successful challenge to evidence integrity.

A single homicide case can generate hundreds of hours of video footage from body cameras, surveillance systems, and doorbell cameras across a crime scene perimeter. No investigative team can manually review all of it. Vault's AI analysis engine processes evidence at machine speed: computer vision detects and classifies faces, license plates, weapons, vehicles, and objects of interest across video and image evidence. Speech-to-text transcription converts audio and video recordings into searchable, timestamped transcripts with speaker identification. Semantic search allows investigators to query across the entire evidence corpus using natural language — "find all footage of a red sedan near 4th and Main between 9 PM and midnight" — and receive results in seconds, not days. Cross-modal linking connects a face detected in surveillance footage to a voice identified in a 911 call to a license plate captured by a dash cam, building an evidence graph that no manual review could construct. Every AI-generated annotation is flagged as machine-derived, preserving the distinction between original evidence and analytical overlay for court presentation.

Public disclosure is a legal obligation and an operational nightmare. FOIA requests demand body-camera footage be released — but with bystander faces, juvenile identities, victim information, and undercover officer identities redacted. Manual redaction of a single hour of video can take six to eight hours of analyst time. Vault's automated redaction engine uses computer vision to detect and persistently track faces, license plates, screen text, name badges, tattoos, and other identifying information across video frames — even as subjects move, turn, or become partially occluded. Redaction is applied as a non-destructive overlay: the original evidence remains pristine and unmodified beneath, while the redacted version is generated as a separate, court-defensible output. Batch processing handles department-wide body-cam releases in hours rather than weeks. The redaction engine supports Brady material preparation, ensuring that potentially exculpatory evidence is identified and preserved during the redaction workflow rather than inadvertently obscured.

The gap between evidence collection and courtroom presentation is where cases die. Prosecutors wait weeks for physical media. Defense attorneys receive incomplete discovery packages. Expert witnesses can't access the files they need to testify. Vault's sharing engine eliminates this gap entirely. Evidence packages are assembled in minutes — curated, annotated, and organized by case, charge, or witness — and shared via encrypted links with granular permissions. Each recipient gets exactly the access they need: prosecutors see everything; defense receives Brady-mandated materials; expert witnesses access only the evidence relevant to their analysis. Every link is watermarked with the recipient's identity, time-stamped, and set to expire. Every view, download, and screenshot attempt is logged. When a defense attorney accesses a video at 2:17 AM from a specific IP address, that access becomes part of the permanent record. Cross-agency sharing maintains bilateral chain of custody — both the sending and receiving agency's audit trails are linked cryptographically.

Agencies drown in evidence storage costs because they retain everything indefinitely — not because they want to, but because they cannot safely determine what can be disposed. A misdemeanor traffic stop video and a homicide crime scene recording sit side by side in the same storage pool with no automated way to distinguish their retention requirements. Vault's retention engine applies jurisdiction-specific retention policies automatically: evidence linked to felony cases is retained for the statutory period plus appeals window; misdemeanor evidence follows shorter schedules; exculpatory material is flagged for extended preservation. Legal holds override retention timers instantly when cases are appealed or reopened. When evidence reaches its disposition date, the engine generates a defensible disposition report documenting the legal basis for destruction, the approvals obtained, and the cryptographic verification that the files were permanently purged. No evidence is ever destroyed without human approval — but the engine ensures that nothing that should be destroyed is forgotten, and nothing that must be preserved is accidentally purged.

Investigations no longer respect jurisdictional boundaries. A human trafficking case may involve local police, state investigators, the FBI, and international law enforcement partners — each operating under different legal frameworks, compliance standards, and data residency requirements. Vault's cross-jurisdiction engine creates secure collaboration spaces where multiple agencies contribute and access evidence under their own compliance frameworks simultaneously. Data residency controls ensure that evidence subject to GDPR, CCPA, or national sovereignty requirements never leaves the required geographic boundary — even while being viewed by authorized personnel in another jurisdiction. Federated search allows investigators to query across agency boundaries without physically transferring files, and bilateral audit trails ensure that every agency maintains its own defensible custody record. When a multi-agency task force is formed, Vault provisions a unified evidence workspace in hours — not the weeks of physical evidence transfers, memoranda of understanding, and ad hoc file sharing that currently define interagency collaboration.

Most agencies cannot answer fundamental questions about their evidence operations: How much evidence is collected per case type? What percentage of evidence is actually reviewed before trial? How does evidence utilization correlate with conviction rates? Where are the bottlenecks in the evidence-to-courtroom pipeline? Vault's analytics engine transforms evidence management from a storage problem into a strategic intelligence function. Operational dashboards show real-time evidence volumes, ingestion rates, pending redaction queues, and approaching retention deadlines. Case intelligence analysis correlates evidence utilization patterns with case outcomes — revealing, for example, that cases where prosecutors accessed body-cam footage within 48 hours of arrest resulted in 23% higher conviction rates than those where footage was accessed after two weeks. Predictive resourcing forecasts evidence storage growth, analyst workload, and redaction demand based on historical patterns and crime trends, allowing agencies to budget and staff proactively rather than reactively.