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2024 Regional L. Rev. 179 (2024)
Leveraging Artificial Intelligence in eDiscovery: Enhancing Efficiency, Accuracy, and Ethical Considerations

handle is hein.journals/rgllr2024 and id is 191 raw text is: DOI: 10.56461/iuprlrc.2024.5.ch14 Bogdana STJEPANOVIC* Institute of Comparative Law, Belgrade, Serbia LEVERAGING ARTIFICIAL INTELLIGENCE IN eDISCOVERY: ENHANCING EFFICIENCY, ACCURACY, AND ETHICAL CONSIDERATIONS* Developments in digital technologies over the past few decades have profoundly affected every area of law,from the practice of individual lawyers to courtprocedures. Today, systems can draft documents, conduct legal research, disclose documents in litigation, conduct due diligence, pro- vide legal guidance, and even resolve litigation online. The traditionally conservative legal pro- fession is now compelled to embrace these changes to stay relevant in the changing world. Discovery is a crucial part of court procedure in common law jurisdictions. It allows each party to obtain the information needed to prepare for trial, evaluate the strengths and weaknesses of their case, and develop strategies for success. As more information is stored electronically, the need for an electronic form of this litigation phase emerged. Since 2006, electronic discovery (eDiscovery) has been officially recognized. Electronic discovery, or eDiscovery, refers to the process of identifying, collecting, and produc- ing electronically stored information (ESI) in response to a request for production in a lawsuit or investigation. ESI encompasses a wide range of digital data, including emails, online doc- uments, spreadsheets, databases, digital images, presentations, audio and video files, social media posts, and websites. The primary purpose of eDiscovery is to support litigation, but the processes of identifying, pre- serving, collecting, and analyzing ESI are applicable to any organization facing legal or regula- tory compliance requirements. Companies in EMEA and APAC regions, even without formal eDiscovery rules, use the technology in anticipation of litigation or regulatory action, to redact sensitive information, conduct internal investigations, perform fact-finding audits, and man- age company data. * PhD, Research Associate, ORCID: 0000-0002-9504-473X, e-mail: b.stjepanovic@iup.rs ** This paper is a result of the research conducted at the Institute of Comparative Law financed by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia under the Contract on realisation and financing scientific research of SRO in 2024 registered under no. 451-03-66/2024-03/200049. 179 UDC: 004.8:34

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