Generative AI and Protective Orders: Ensuring Responsible Use and Avoiding Overbroad Restrictions

By Wesley Page 

NOTE: Wesley Page is the Federal Public Defender for the Southern District of West Virginia. Prior to being head defender, Wes was a member of the CJA Panel and served as the CJA Panel District Representative. He now also serves as Chair of the Defender Automation Working Group (DAWG), a national working group that supports federal defenders and CJA panel attorneys in the effective and secure use of technology to ensure high‑quality legal representation. By way of background, DAWG advises the national Defender Services program by assisting in the program’s identification of technology needs, planning for future improvements, and sharing updates on tools and practices that enhance efficiency and casework for defenders and CJA panel attorneys alike.

Wes recently sent the following email to Federal Defenders and CJA panel representatives in response to the recent trend of “AI” protective orders. With his permission, we are reprinting his email here:

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Same Fence, Different Tower: What Chatrie Means for Cellular Area Searches

By John Ellis[1]

Editor’s Note: This article is a companion to our earlier primer on Chatrie v. United States, which explained the Supreme Court’s June 29, 2026, holding that obtaining a person’s Google Location History through a geofence warrant is a Fourth Amendment search. See The Fourth Amendment Catches Up to Digital Dragnets.

Here we turn from Google to the wireless carriers. Our thesis is simple: because Chatrie forecloses the government’s no-search and third-party defenses to carrier location data, the real fight over cellular area searches now moves to the warrant itself—its probable cause, particularity, and execution, and whether good faith can save a defective one. Google has started storing Location History on users’ phones instead of its own servers, which makes the classic Google geofence warrant harder to run. The technique law enforcement is turning to instead is the cellular area search, in which a search warrant requires a wireless carrier to determine which devices were within a specific geographic area during a certain time-period. This piece explains what those searches are, how their Timing Advance and proprietary location-estimate data compare to the records in Carpenter and Chatrie, and why Chatrie‘s reasoning reaches them with at least equal force. Because these searches already proceed by warrant, Chatrie‘s significance is not that it requires one; it is that it puts the warrant’s probable cause, particularity, and execution squarely in play. Defenders and CJA practitioners handling carrier location evidence should read this alongside the Chatrie primer and assess the implications now.

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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.

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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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