When the duty to disclose in criminal cases was established under statute in England and Wales, two decades ago, the legal landscape was vastly different. Since then, the emergence of digital evidence, often referred to as 'electronic footprints,' has revolutionized the investigation process. This holds particularly true in sexual offence cases where electronic evidence has the potential to offer stronger and more conclusive proof in the notoriously difficult task of proving sexual offence charges. Unfortunately, however, the surge in digital data has also posed a daunting challenge, hindering legal professionals from efficiently fulfilling their disclosure duty. The sheer volume and complexity of digital evidence, exacerbated by outdated processing methods of the Crown Prosecution Service (CPS), budget constraints, and a shortage of knowledgeable police officers, have pushed the disclosure duty to a breaking point. With a single mobile phone capable of holding over a million pages of data, finding relevant material to build a forensically sound case can be likened to 'looking for a needle in a haystack.' In fact, sexual offence cases are now rendered lengthier and more intrusive due to the substantial amount of additional irrelevant personal data that digital evidence can introduce. This presentation explores how AI software, specifically Technology-Assisted Review (TAR), used successfully in the US, can revolutionise the disclosure process in England and Wales. Specifically, the presentation aims to demonstrate how TAR can alleviate the current pressures faced by the CPS, by streamlining the criminal evidence review process thereby reducing costs and maximizing efficiency.