British police are now deployingartificial intelligence to process large amounts of digital evidencein complex criminal investigations, dramatically reducing the time required to analyse data. In one major case, officers processed 1.4 terabytes of data from confiscated smartphones with an AI application that can filter through messages, photos, and location data much faster than traditional ones.
The operation marked a significant shift in modern policing, as detectives confront increasingly large volumes of digital material linked to organised crime and fraud.
The case involved a fraud gang charged with the theft of about £800,000 through over 3,000 cash machine withdrawals across various locations in England and Romania.
When detectives confiscated around two dozen smartphones linked to the suspects, they found a huge amount of digital evidence amounting to approximately 1.4TB, which is equivalent to hundreds of thousands of books.
Leveraging traditional techniques, detectives may have to spend months and even years reviewing such a dataset. Rather, investigators resorted to anAI system called Nectar, supplied by the US-based technology company Palantir, to assist in the analysis of the data.
Communications were scanned and translated with the tool, and the relationships among suspects were identified, as well as possible criminal activity hidden within the data.
Using the AI system, officers were able to read and translate over 100,000 messages on the seized phones in one day, which was normally far from possible and would have required a high cost.
The analysis showed the relationship between the suspects, tracked movements across locations, and identified almost 120 possible crimes in the dataset.
Investigators said the system scanned images and text messages as well for references to drugs, guns, and ATM activity, while developing live visual maps linking people, communications, and evidence.
Ultimately, the investigation led to the arrest and conviction of six men, demonstrating how AI-assisted analysis can accelerate complex cases when digital evidence is overwhelming.
Source: International Business Times UK
