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UID:43935336-B6A3-4C8B-908F-07886F48FF3C
DTSTART;TZID=Europe/Bratislava:20241120T140000
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DESCRIPTION:The presentation discusses the possibility of the use of AI\, s
 pecifically machine learning methods\, in legal research. The growing avai
 lability of data in the form of judicial decisions or decisions of other s
 tate authorities\, including contractual agreements\, introduces the need 
 to implement methods that help legal experts to better understand the law 
 and its continuous development. In this regard\, we will provide specific 
 case studies where machine learning methods were successfully implemented 
 to analyse legal text to identify\, e. g.\, the emerging decision-making p
 ractices of competent authorities. We will also demonstrate several approa
 ches for document retrieval\, information extraction and anomaly detection
  using a mix of statistical techniques and transformer-based language mode
 ls.\n\nKosice\, Slovakia\, Slovakia
LOCATION:Kosice\, Slovakia\, Slovakia
ORGANIZER:jan.vascak@tuke.sk
SEQUENCE:6
SUMMARY:Generative AI in Legal Research
URL;VALUE=URI:https://events.vtools.ieee.org/m/464852
X-ALT-DESC:Description: <br /><p><span lang="EN-GB" style="font-size: 12.0p
 t\; line-height: 115%\; font-family: 'Times New Roman'\,serif\; mso-fareas
 t-font-family: Aptos\; mso-fareast-theme-font: minor-latin\; mso-ansi-lang
 uage: EN-GB\; mso-fareast-language: EN-US\; mso-bidi-language: AR-SA\;">Th
 e presentation discusses the possibility of the use of AI\, specifically m
 achine learning methods\, in legal research. The growing availability of d
 ata in the form of judicial decisions or decisions of other state authorit
 ies\, including contractual agreements\, introduces the need to implement 
 methods that help legal experts to better understand the law and its conti
 nuous development. In this regard\, we will provide specific case studies 
 where machine learning methods were successfully implemented to analyse le
 gal text to identify\, e. g.\, the emerging decision-making practices of c
 ompetent authorities. We will also demonstrate several approaches for docu
 ment retrieval\, information extraction and anomaly detection using a mix 
 of statistical techniques and transformer-based language models.</span></p
 >
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