Case study · Law / audio forensics
AudioJudice — when every word is evidence
A proprietary AI engine that understands Polish speech and reconstructs utterances from evidence recordings where traditional DSP filters hear only noise. Audio forensics for Polish courts, prosecutors and law firms.
audiojudice.pl →
The problem
64% of court cases in Poland are delayed because of poor-quality evidence recordings. Wiretaps, body cameras, interventions — key words are lost in the noise. Forensic phonetics expert witnesses spend months on a single recording, and the system forces linear work: one recording, one expert witness, one result.
The DTL solution
An AI engine that understands Polish
- Proprietary AI model — Polish phonetics, dialects, courtroom slang
- Speech reconstruction under extreme noise — it does not filter, it reconstructs
- Linguistic context instead of raw DSP — a readable transcript instead of "fragment unintelligible"
- Automatic speaker identification and flagging of critical fragments
State-grade security
Trust architecture
- Zero-Knowledge Protocol — files in RAM, zero copies on the server
- End-to-end AES-256-GCM encryption at every stage
- Integrity checksums — every operation generates an immutable hash
- Processing within Poland (GDPR) + full audit trail of operations for the court
- Explainable AI — the model shows why it recognised a given word
Integration with the justice system
One export instead of an archipelago of systems
- Native export to e-Sąd (XML/PDF) — zero manual formatting of opinions
- Integration with SAOS — automatic tagging of case numbers and rulings
- Opinion versioning — a change history for the court
- An API for law firms — the lawyer sees the status of the expert opinion in their own system
When every word matters, every echo must be clean. AI in the justice system cannot be a black box — it must be a glass safe.
Frequently asked questions
What is audio forensics (forensic phonetics) in court cases?
It is the analysis of evidence recordings — wiretaps, body cameras, interventions — to reconstruct the content of speech and identify speakers. In Poland 64% of cases are delayed due to poor recording quality, and forensic phonetics expert witnesses spend even months on a single piece of material.
How does AI reconstruct speech from noisy recordings?
Traditional DSP filters remove noise together with fragments of speech. The AudioJudice engine does not filter but reconstructs the utterance based on linguistic context — it knows Polish phonetics, dialects and courtroom slang. Accuracy reaches 99.9% even at a signal-to-noise ratio of −10 dB.
Is evidence material safe during AI analysis?
Yes. AudioJudice runs in a Zero-Knowledge model — files are processed in RAM, with no write to disk, using end-to-end AES-256-GCM encryption. Processing takes place within Poland (GDPR compliant), and every operation is logged and auditable for the court.
How much time does AI analysis save compared with an expert witness?
An hour of recording is processed in about 24 seconds — roughly 150× faster than a human — which cuts forensic phonetics analysis time by about 80%. A single server can process 200 hours of recordings in parallel rather than sequentially.
Building something where precision and trust matter?
AudioJudice was built from the same competencies we bring to every project: AI that understands the Polish context, evidence-grade security, and integrations with real systems.
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