The Fourth Amendment Catches Up to Digital Dragnets: A Primer for Suppression Litigation After the Supreme Court’s Landmark Ruling in Chatrie

By John Ellis [1]


Editor’s Note: Okello Chatrie’s case began as a 2019 Virginia credit-union robbery investigation and reached the Supreme Court as a major test of geofence warrants. On June 29, 2026, in Chatrie v. United States, No. 25-112, a five-Justice opinion authored by Justice Kagan held that police conduct a Fourth Amendment search when they obtain Google Location History through a geofence warrant. Justice Gorsuch concurred in the judgment, giving the threshold search holding six votes, though only five Justices joined the Court’s Katz/Carpenter rationale. The decision settles the threshold search question that divided lower courts, but leaves probable cause, particularity, reasonableness, and good faith for the Fourth Circuit on remand. Defenders and CJA practitioners litigating digital location evidence should assess the implications immediately.

Introduction

On June 29, 2026, the Supreme Court held in Chatrie v. United States that police conduct a Fourth Amendment search when they obtain a person’s historical Google Location History through a geofence warrant. The decision settles a threshold question that divided courts for years and eliminates the government’s most common argument for avoiding Fourth Amendment scrutiny altogether. For years, prosecutors argued that because Google stored the data, obtaining it did not implicate the Fourth Amendment at all. Chatrie rejects that premise. Location History is not just another third-party business record. It is highly precise, frequently recorded, retrospectively searchable, and user-facing in a way that makes it closer to a personal digital journal than a carrier’s internal network log. The Court stopped short of declaring geofence warrants categorically unconstitutional. Whether any particular warrant satisfies probable cause, particularity, and reasonableness is now the central question. Those issues return to the Fourth Circuit on remand, along with the unresolved question whether the good-faith exception applies.

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dtSearch releases new version with built-in PDF viewer

A new upgrade of the popular dtSearch Desktop program was recently released (version 2026.01) that includes a new built-in PDF viewer. This upgrade is free for all existing dtSearch Desktop users.

dtSearch is a popular search and retrieval program that can be a useful tool for searching discovery and creating brief banks. It can be helpful in viewing different file types (including non-PDF files) even if you do not have the associated program installed on your computer.

The new version displays PDF files with highlighted hits without requiring any additional software. Once upgraded, users no longer need to install the dtSearch PDF hit-highlighting plug-in which had required a licensed copy of Adobe Acrobat to work. The new PDF viewer will work automatically with existing dtSearch indexes. There is no need to re-index for this new viewer to work. Full technical details can be found in the release notes.

To upgrade dtSearch Desktop to the current version, run dtSearch Desktop and click Help > Check for updates > Check now…

If you do not yet have a license of dtSearch Desktop and would like to request a license, fill out the form located in the following post: https://nlsblog.org/2014/03/25/dtsearch-desktop/

dtSearch Guide – Part VII: Refine Your Search Results with “Search Within These Results”

By Tisha DavisDerek Ametam and Joe Wanzala 

This is the seventh installment in our series on dtSearch.  In this installment, we will explore how to leverage dtSearch’s ‘Search Within these Results’ feature to “drill down” or refine your search results.  You can find the previous installments here:  Part 1Part 2Part 3Part 4Part 5 and Part 6

In today’s litigation, we often get voluminous amounts of discovery on a rolling basis.  Linear review of those discovery productions can result in going down multiple rabbit holes before we find the relevant, useful information. 

As we mentioned in earlier installments, dtSearch is a good search and retrieval tool built to help users quickly find relevant information in massive datasets.  You may have an idea on what names, keywords, terms, or phrases you want to search for.  You may think that you need to run each search separately.  This approach, while good-intentioned, could lead to you spending extra time reviewing duplicative results.  This can be especially time-consuming in cases with lots of data.

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Lingvanex Translator

By Nelson Garcia and Claudia Kokot 

If you need a straightforward option for translating documents, Lingvanex Translator is one tool to consider.  For as little as $99 per year for a license, you will have unlimited text translation into 109 languages.  Lingvanex Translator offers two desktop versions for Windows or macOS:  the Desktop Cloud Version, which uses an internet connection for translations, and the Desktop Offline Version, which relies on locally downloaded language data. According to Lingvanex, nothing is stored on the cloud. Translation history is kept locally on the device no matter which version you decide to go with.

If you’re deciding between the offline and online desktop versions, the online one offers more features overall. It also supports offline use for certain languages. You can check this in the app under Settings → Offline (see figure 3 below). Any language listed there can be downloaded after you purchase a subscription and be used without an internet connection.

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dtSearch Guide – Part VI: Exploring Your Discovery with the Search Features Panel in dtSearch

By Tisha DavisDerek Ametam and Joe Wanzala 

This is the sixth installment in our series on dtSearch. In this installment, we’ll continue to explore how to actually search your discovery data and make the most of dtSearch’s powerful search capabilities. You can find the previous installments here: Part 1Part 2Part 3Part 4 and Part 5

In this installment, we will explore how to leverage dtSearch’s advanced Search features to further refine and expand your searches. These powerful options—such as fuzzy searching, synonym searching, stemming, phonic searching, and more—allow you to handle common real-world challenges like misspellings, OCR errors, varied terminology, and conceptual relationships.

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