Beweisverwertungsverbote im Lichte der DSGVO

The admissibility of unlawfully obtained evidence has long been a subject of controversy, and the General Data Protection Regulation (GDPR) has recently intensified this debate. Under the prevailing Austrian “principle of separation”, a distinction is drawn between the (substantively) unlawful acquisition of evidence and its admissibility in procedural law. This article analyses the extent to which the GDPR and the current case law of the CJEU call this concept into question.

Authors

Publication Details

Journal
AUC IURIDICA
Published
2026-05-29
DOI
https://doi.org/10.14712/23366478.2026.95
Primary Topic
Criminal Law and Evidence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beweisverwertungsverbote im Lichte der DSGVO

Lena Werderitsch
AUC IURIDICA
Criminal Law and Evidence
article

Beweisverwertungsverbote im Lichte der DSGVO

Lena Werderitsch
article en

Abstract

The admissibility of unlawfully obtained evidence has long been a subject of controversy, and the General Data Protection Regulation (GDPR) has recently intensified this debate. Under the prevailing Austrian “principle of separation”, a distinction is drawn between the (substantively) unlawful acquisition of evidence and its admissibility in procedural law. This article analyses the extent to which the GDPR and the current case law of the CJEU call this concept into question.

AUC IURIDICAVol. 72(2)
Decent work and economic growth
Openalex Percentile: Top 2%
Criminal Law and Evidence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.