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The National Center for Missing & Exploited Children uses artificial intelligence to cut down o…

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Although the utilization of synthetic intelligence in the legal sector has faced criticism in recent times due to instances where ChatGPT mishandled cases, AI technologies have long been employed outside the courtroom for investigative purposes and continue to advance.

One area where AI devices have demonstrated tangible outcomes is in aiding the apprehension of individuals targeting children.

The National Center for Missing and Exploited Children (NCMEC) has harnessed AI technology to identify and prosecute child predators on a significant scale.

By leveraging AI systems developed by metadata company Show, the nonprofit organization NCMEC was able to save over 4,000 hours in evaluation and investigation time, enabling them to address more than 21,000 missing children cases last year. Collaborating closely with law enforcement, they work to prevent child abductions, locate missing children, and combat child exploitation.

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Gavin Portnoy, the vice chairman of NCMEC’s Strategic Advancement & Partnerships Division, revealed to FOX Business that in a particular case, the nonprofit assisted prosecutors in sifting through over 500,000 pages of documents as part of pre-trial challenges to support the legal case.

Portnoy highlighted, “Previously, our legal team would have had to halt all other activities to manually review, redact, and produce the documents, meeting tight court deadlines to ensure the criminal case proceeds smoothly without any risk of sanctions or dismissal.” By efficiently managing this task using Reveal’s Logikcull systems, the Office of Legal Counsel at NCMEC saved numerous attorney hours.

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The legal domain has a rich history of utilizing artificial intelligence tools, with relational AI driving the pace of innovation. (IStock/iStoock)

Portnoy underscored that none of the materials reviewed using the software for legitimate purposes involve CSAM, and Reveal AI is not utilized by NCMEC for matters directly related to child sexual victimization.

Wendell Jisa, the founder and CEO of Reveal, expressed his enthusiasm for the use of his company’s AI tools in tracking down predators, particularly as a father of three. He found it intriguing that the technology, although not originally designed for this purpose, is now being employed in such a critical manner.

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Jisa explained that Reveal’s tools were initially created to efficiently navigate vast amounts of data for specific business objectives, such as cost-saving measures for large corporations. However, the broader application of these systems to address significant global challenges is a concept that he finds both fascinating and compelling.

Established 12 years ago with the primary goal of creating a repository for legal information storage, Reveal has evolved into a leading provider of AI tools focused on eDiscovery and investigations, now valued at over $1 billion.

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In addition to the legal sector, Reveal is experiencing a surge in demand for its AI tools. (IStock/Shutthiphong Chandaeng)

The organization offers a diverse array of AI-driven solutions utilized by law firms of all sizes and, more recently, by law enforcement agencies worldwide to sift through massive datasets. While NCMEC stands out as a success story, numerous other entities have benefited from Show’s offerings.

One prominent law firm deploys Reveal technology to uncover and prevent gang activities and corruption within large corporate entities. A Fortune 50 healthcare company leveraged these tools to swiftly save over $1.6 million in attorney review expenses during an internal investigation into intellectual property theft by a former employee.

Various government bodies, ranging from local school districts to federal agencies, have also integrated Show’s tools into their operations.

Jisa emphasized that their impact spans the entire legal landscape, demonstrating the versatility of AI solutions originally designed for specific purposes in addressing a wide array of challenges that have a global impact.

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Last modified: January 10, 2024
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