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BEGIN:VEVENT
UID:57bd5f0a4e2a7ffeb8a63d9ebfc5bdf1181d0f31@swoogo.com
DTSTAMP:20260421T163117Z
DESCRIPTION:In high-volume mass tort litigation\, plaintiff fact sheets hol
 d valuable signals—if you know where to look. This session explores how de
 fense teams are applying data analytics and AI to detect anomalies\, ident
 ify patterns of fraud or duplication\, and uncover strategic insights that
  can shape global settlement strategy or support motions to dismiss. \nDis
 cussion topics include: \n\n 	* Building structured data models from plaint
 iff fact sheets \n 	* Using AI to flag inconsistencies\, duplicative claims
 \, and outliers \n 	* Leveraging pattern recognition to guide litigation st
 rategy and negotiations \n 
DTSTART:20260310T180000Z
DTEND:20260310T190000Z
LAST-MODIFIED:20260421T163117Z
LOCATION:Room 406.1
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Fact-Sheet Intelligence: Pattern Detection & Fraud Defense in Mass 
 Torts
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p>In high-volume mass tort litigation\, plain
 tiff fact sheets hold valuable signals—if you know where to look. This ses
 sion explores how defense teams are applying data analytics and AI to dete
 ct anomalies\, identify patterns of fraud or duplication\, and uncover str
 ategic insights that can shape global settlement strategy or support motio
 ns to dismiss. <br />\nDiscussion topics include: </p>\n\n<ul>\n	<li>Buildi
 ng structured data models from plaintiff fact sheets </li>\n	<li>Using AI t
 o flag inconsistencies\, duplicative claims\, and outliers </li>\n	<li>Leve
 raging pattern recognition to guide litigation strategy and negotiations <
 br />\n	 </li>\n</ul>\n\n<p><img alt='' height='50' src='https://assets.swo
 ogo.com/uploads/medium/5984546-68f3a07e93233.png' width='50' /></p>
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ACTION:DISPLAY
DESCRIPTION:In high-volume mass tort litigation\, plaintiff fact sheets hol
 d valuable signals—if you know where to look. This session explores how de
 fense teams are applying data analytics and AI to detect anomalies\, ident
 ify patterns of fraud or duplication\, and uncover strategic insights that
  can shape global settlement strategy or support motions to dismiss. \nDis
 cussion topics include: \n\n 	* Building structured data models from plaint
 iff fact sheets \n 	* Using AI to flag inconsistencies\, duplicative claims
 \, and outliers \n 	* Leveraging pattern recognition to guide litigation st
 rategy and negotiations \n 
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