Longeye Reports Rapid Growth in AI-Powered Police File Analysis Across 2025 and 2026
Longeye, a developer of artificial intelligence-driven investigative solutions for law enforcement and the broader justice system, has released new data detailing the scale of information processed by its platform since its launch in October 2025. The figures, drawn from deployments across dozens of police departments in the United States, reveal a dramatic increase in usage and data processing activity in early 2026 compared to the company’s initial launch period.
The results highlight a clear trend: law enforcement agencies are rapidly adopting AI tools to manage the growing volume and complexity of digital evidence in modern criminal investigations.
A Strong Start Followed by Accelerated Growth
According to Longeye’s leadership, the company’s first year in operation laid a solid foundation, but the pace of adoption in 2026 has exceeded expectations.
Founder and CEO Guillaume Delepine noted that the company’s launch year was marked by successful partnerships with early adopters and strong collaboration with investigative teams. However, the data emerging from 2026 indicates a significant acceleration in both platform usage and the volume of evidence processed.
In just the first quarter of 2026, the total amount of data analyzed by the platform surpassed the entirety of 2025 by a wide margin, reflecting what the company describes as exponential growth. This surge underscores the urgency with which law enforcement agencies are seeking solutions to manage digital evidence more efficiently.
Addressing a Critical Bottleneck in Modern Investigations
Longeye was founded to tackle a fundamental challenge facing law enforcement today: the overwhelming volume of digital evidence generated in criminal cases.
In recent years, the nature of investigations has shifted dramatically. Digital evidence—including mobile phone data, surveillance footage, social media content, and electronic documents—now plays a central role in the majority of cases. It is estimated that roughly 90% of criminal investigations involve some form of digital data.
Despite this, clearance rates remain relatively low. Nationwide figures from 2024 show that only about 44% of violent crimes and 16% of property crimes were successfully solved. One of the key contributing factors is the sheer volume of evidence that investigators must review.
Surveys indicate that nearly 70% of investigators feel they do not have sufficient time to analyze all the digital material associated with their cases. This creates a significant bottleneck, where critical insights may be delayed or overlooked entirely due to resource constraints.
Real-World Impact on Law Enforcement Agencies
Police departments that have adopted Longeye’s platform report measurable improvements in efficiency and investigative outcomes.
Darrell Lowe, Chief of Police for the Redmond, Washington Police Department, described the challenge as “more evidence with the same staffing levels.” He emphasized that the platform enables investigators to significantly reduce the time required to review evidence, while also improving their ability to identify relevant connections across datasets.
By accelerating evidence analysis, tools like Longeye allow detectives to redirect their time toward core investigative activities such as conducting interviews, pursuing leads, and building cases.
Similarly, Eric Lane, Chief of Police for the Hawthorne, California Police Department, highlighted the transformative impact of AI-driven analysis on investigative workflows. He noted that the platform has enhanced the department’s ability to process digital evidence and has contributed to improved public safety outcomes.
Scale of Data Processed in 2026
The scale of Longeye’s operations in early 2026 illustrates the magnitude of the problem it is designed to solve.
Across 35 participating law enforcement agencies, the platform processed approximately 25 million files in just the first three months of the year. To put this into perspective, the company estimates that this workload is equivalent to roughly 34 years of traditional detective effort.
The data includes:
- Approximately 1.4 years of audio recordings and six months of video footage—nearly two years of media content in total
- Around 3.1 million pages of documents, representing more than 15 years of reading time at a pace of 100 pages per hour
- Roughly 5.8 million images, equivalent to nearly three years of manual review at a rate of 1,000 images per hour
- Over 56,000 spreadsheets and databases, representing approximately seven years of manual analysis time
- Dozens of social media warrant returns, each containing large volumes of structured and unstructured data
These figures demonstrate how AI can compress years of manual investigative work into a matter of weeks or months.
2025 Baseline Highlights Rapid Expansion
For comparison, Longeye’s 2025 activity levels were significantly lower, reflecting its initial rollout phase.
During that year, the platform processed approximately 1.58 million files across 16 agencies. The total volume included:
- Just under one year of combined audio and video content
- Around 183,000 pages of documents
- Approximately 231,000 images
While substantial for a newly launched platform, these figures pale in comparison to the scale achieved in early 2026, underscoring the rapid growth in adoption and usage.
New Capabilities Introduced in 2026
In addition to scaling its operations, Longeye has expanded its platform with a range of new features designed to enhance investigative efficiency and usability.
One of the most notable additions is case-level AI investigation, which allows detectives to query all evidence within a case simultaneously. Instead of reviewing files individually, investigators can ask questions in natural language and receive answers synthesized from across the entire dataset.
The platform also now supports collaborative report generation, enabling AI to draft key documents such as warrants, affidavits, and case summaries. These drafts include citations linked directly to underlying evidence, allowing investigators to verify accuracy before submission.
Another major enhancement is the ability to analyze structured data, such as spreadsheets and databases, using plain-language queries. This eliminates the need for specialized technical skills when working with complex datasets.
Advanced Visualization and Media Analysis
Longeye has also introduced new tools for visualizing and analyzing location-based data.
Interactive mapping features allow investigators to plot GPS coordinates, cell tower connections, automatic license plate reader (ALPR) data, and IP geolocation information on a unified map interface. A timeline slider enables users to track movements over time, and the resulting visualizations can be exported as video for use in court proceedings.
In the realm of image analysis, the platform now includes face detection and clustering capabilities. These features automatically identify and group faces across large image collections, making it easier to locate all instances of a person of interest within a case.
The platform’s media search capabilities have also been enhanced through thematic search functionality. For example, searching for a term like “gun” will automatically surface related concepts such as “firearm,” “weapon,” or “handgun,” improving the comprehensiveness of search results.
Integration and Multilingual Support
To ensure compatibility with existing workflows, Longeye has introduced integration with Axon Evidence.com, a widely used evidence management platform. This allows investigators to import data directly into Longeye without disrupting established processes.
The platform also supports analysis in more than 100 languages, enabling English-speaking investigators to work with multilingual evidence without relying on external translation resources. This is particularly valuable in cases involving international communications or diverse communities.
Building on a Strong Foundation
Many of these new features build on capabilities introduced at launch. Early functionality included processing of mobile phone extraction data from Cellebrite UFDR files, analysis of social media warrant returns, and redundant transcription systems that cross-check multiple AI models to improve accuracy.
Together, these capabilities form a comprehensive toolkit for handling the diverse range of data types encountered in modern investigations.
Transforming the Future of Investigations
Longeye’s rapid growth and expanding feature set reflect a broader shift toward AI-driven workflows in law enforcement. As the volume of digital evidence continues to grow, traditional methods of analysis are becoming increasingly unsustainable.
By automating time-intensive tasks and enabling faster, more accurate analysis, platforms like Longeye are helping agencies keep pace with the demands of modern policing. The result is not only improved efficiency but also the potential for higher case clearance rates and stronger outcomes in the justice system.
The data released by Longeye paints a clear picture of accelerating adoption and impact. From processing millions of files to introducing advanced AI capabilities, the company is positioning itself as a key player in the evolution of investigative technology.
As law enforcement agencies continue to grapple with growing volumes of digital evidence, solutions that combine scalability, automation, and usability will become increasingly essential. Longeye’s trajectory suggests that AI-powered investigation platforms are moving from experimental tools to core operational infrastructure within the justice system.
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