NICE Evidencentral recognized for AI capabilities that help investigators and prosecutors find the truth in digital evidence faster, to reduce case backlogs and delays

Hoboken, N.J., February 28, 2024 – NICE (Nasdaq: NICE) today announced that solutions from the NICE Evidencentral platform have been named to the ASTORS Awards-winner’s list. Sponsored by American Security Today, the ASTORS Awards recognize innovative solutions that support law enforcement, criminal justice and public safety agencies in their mission to fight crime and keep cities and communities safe and secure. NICE Investigate and NICE Justice, solutions within NICE’s Evidencentral platform, were named gold award recipients in the Best Investigation Solution category. The solutions were recognized by AST for their use of Artificial Intelligence (AI) in transforming how growing digital evidence is managed.

Chris Wooten, Executive Vice President, NICE, said,“Digital evidence is growing exponentially and it’s slowing down the justice process. NICE’s AI-powered Digital Evidence Management solutions automate tedious investigation and trial preparation tasks, so investigators and prosecutors can find the truth in digital evidence faster and reduce case backlogs and delays.”

A 2023 NICE Public Safety & Justice Prosecutor Benchmark Study confirms that challenges managing growing digital evidence are contributing to case backlogs. One issue that slows prosecutors down is the sheer number of systems prosecutors and investigators need to work in to find and prepare digital evidence for cases and trial.

Video evidence is especially challenging to work with as it may need to be transcoded to make it playable. Prosecutors and police investigators also frequently need to redact video, transcribe it, or create clips. Each of these activities requires them to work in different systems, or initiate requests which can take days or weeks to complete, contributing to a delayed justice process.

NICE’s AI-powered Digital Evidence Management suite removes these delays and worries. For example, using cloud-based transcription, prosecutors and investigators can quickly scan the content of audio and video recordings to expedite evidence review and charging decisions. With Object Character Recognition, previously unsearchable evidence such as hand-written notes, PDFs and text content stored within images, can be scanned and made keyword-searchable. The NICE solutions also use AI to search across connected evidence sources and recommend evidence, and automatically redact material from video evidence.

For more information on NICE’s award-winning solutions visit the NICE Public Safety & Justice website.

NICE Public Safety & Justice
With over 3,000 customers and 30 years of experience, NICE helps all types of public safety and criminal justice agencies, from emergency communications and law enforcement to prosecutors and courts, digitally transform how they manage digital evidence and data from beginning to end, to get to the truth faster. NICE’s Evidencentral platform features an ecosystem of integrated technologies that bring data together to give a single view of the truth, enabling public safety and justice agencies to do what they do better – whether it’s responding to incidents, investigating and building cases, or prosecuting crimes. With comprehensive digital transformation solutions that can be deployed across entire counties and states, NICE also helps everyone work better together, so justice flows more smoothly, from incident to court.

About NICE
With NICE (Nasdaq: NICE), it’s never been easier for organizations of all sizes around the globe to create extraordinary customer experiences while meeting key business metrics. Featuring the world’s #1 cloud native customer experience platform, CXone, NICE is a worldwide leader in AI-powered self-service and agent-assisted CX software for the contact center – and beyond. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, partner with NICE to transform - and elevate - every customer interaction.

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