Author Archives: nlsblogadmin

Lab Notes: Audio Transcription Tools

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By Nakiyyah Adams

How do you review hundreds of jail calls? What about 3 months of 24-hour video surveillance on a house? Twenty bodycameras covering  1-2 hours each of a multi-jurisdictional car chase and stop?

Audio transcription tools are one potential answer. These tools can analyze audio and video files and create text searchable transcripts. You can imagine the huge time-saving benefit here—instead of trying to watch or listen to hours and hours of recordings, only some of which might be relevant, a text searchable transcript could be searched using keywords, or even just read quickly in less time than experiencing the recording in real-time.

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Google Data and Geofence Warrant Process

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[Editor’s Note: John C. Ellis, Jr. is a National Coordinating Discovery Attorney for the Administrative Office of the U.S. Courts, Defender Services Office. In this capacity, he provides litigation support and e-discovery assistance on complex criminal cases to defense teams around the country. Before entering private practice, Mr. Ellis spent 13 years as a trial attorney and supervisory attorney with Federal Defenders of San Diego, Inc. He also serves as a digital forensic consultant and expert.]

Introduction

This is an updated version of a post originally published in December 2020, which provides a primer on how Google collects location data, the three-step warrant process used by law enforcement to obtain these records, and an example of how the data is collected and used by the prosecution. The updated version includes references to United States v. Chatrie, a recently decided district court opinion regarding the constitutionality of geofence warrants.[i] From the opinion and the pleadings in Chatrie, we have a better understanding of the Google collection and geolocation search warrant process.

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U.S. v. Morgan, et al: Know What You Don’t Have

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[Editor’s Note: Tom O’Connor is an attorney, educator, and well respected e-discovery and legal technology thought leader. A frequent lecturer on the subject of legal technology, Tom has been on the faculty of numerous national CLE providers and has taught college level courses on legal technology. He has also written three books on legal technology and worked as a consultant or expert on computer forensics and electronic discovery in some of the most challenging, front page cases in the U.S. Tom is the Director of the Gulf Coast Legal Technology Center in New Orleans, LA ]

If you were practicing in federal court before email, ECF filing, and in the days when Joe Montana threw to Jerry Rice then you probably remember discovery productions were typically hardcopy documents you picked up at the US Attorney’s Office. The volume was so small it easily fit into your briefcase. Those were the days when everyone complained about not getting enough discovery. The challenge was moving to compel for more discovery when you didn’t know what you didn’t have.

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Inside The Black Box: Excluding Evidence Generated by Algorithms

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[Editor’s Note: John C. Ellis, Jr. is a National Coordinating Discovery Attorney for the Administrative Office of the U.S. Courts, Defender Services Office. In this capacity, he provides litigation support and e-discovery assistance on complex criminal cases to defense teams around the country. Before entering private practice, Mr. Ellis spent 13 years as a trial attorney and supervisory attorney with Federal Defenders of San Diego, Inc. He also serves as a digital forensic consultant and expert.]

Introduction:

For many years, law enforcement officers have used records generated by mobile carriers to place a mobile device in a general area. The records are called Call Detail Records (“CDRs”). CDRs are generated when a mobile device sends or receives calls and text messages. Mobile carriers likewise keep records of when data is used, such as browsing the internet. These records are called Usage Detail Records (“UDRs”). At times, the records generated by mobile carriers include the location of the cell site or cell sites and the direction of antenna that connected with the mobile device.

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