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BEGIN:VEVENT
UID:3fcb9309077c78521455ab3afb6ce17045afb1dc@swoogo.com
DTSTAMP:20260420T002917Z
DESCRIPTION:The rapid proliferation of AI tools across corporations and in 
 law firms is creating new and often unforeseen litigation risks—many of wh
 ich are emerging faster than legal teams can identify\, control\, or remed
 iate them. From AI-generated transcripts\, summaries\, and recordings crea
 ted without proper consent\, to automated decision-making embedded in ever
 yday workflows\, to AI being used to prepare for litigation\, these techno
 logies are reshaping how evidence is created\, stored\, altered\, and pres
 ented in disputes. This session examines AI use—whether enterprise-approve
 d or employee-initiated—are introducing new exposure across discovery\, ev
 identiary integrity\, privacy\, and litigation strategy. We will move beyo
 nd the theory to share practical frameworks for auditing AI data\, authent
 icating evidence\, and implementing defensible safeguards that protect you
 r organization in real-time. Discussion topics include:\n\n 	* Types of ris
 ks legal teams must now anticipate\, the challenges of tracing and defendi
 ng AI-influenced data\n 	* Emerging discovery and preservation challenges c
 reated by AI-driven transcription\, summarization\, and automated data pro
 cessing\n 	* Practical steps organizations can take to mitigate litigation 
 risk in an environment where AI usage is accelerating faster than policy\,
  training\, and oversight
DTSTART:20260310T193000Z
DTEND:20260310T203000Z
LAST-MODIFIED:20260420T002917Z
LOCATION:Room 406.1
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Five New Risks AI Has Introduced in the Last Five Months
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p>The rapid proliferation of AI tools across 
 corporations and in law firms is creating new and often unforeseen litigat
 ion risks—many of which are emerging faster than legal teams can identify\
 , control\, or remediate them. From AI-generated transcripts\, summaries\,
  and recordings created without proper consent\, to automated decision-mak
 ing embedded in everyday workflows\, to AI being used to prepare for litig
 ation\, these technologies are reshaping how evidence is created\, stored\
 , altered\, and presented in disputes. This session examines AI use—whethe
 r enterprise-approved or employee-initiated—are introducing new exposure a
 cross discovery\, evidentiary integrity\, privacy\, and litigation strateg
 y. We will move beyond the theory to share practical frameworks for auditi
 ng AI data\, authenticating evidence\, and implementing defensible safegua
 rds that protect your organization in real-time. Discussion topics include
 :</p>\n\n<ul>\n	<li>Types of risks legal teams must now anticipate\, the ch
 allenges of tracing and defending AI-influenced data</li>\n	<li>Emerging di
 scovery and preservation challenges created by AI-driven transcription\, s
 ummarization\, and automated data processing</li>\n	<li>Practical steps org
 anizations can take to mitigate litigation risk in an environment where AI
  usage is accelerating faster than policy\, training\, and oversight</li>
 \n</ul>\n\n<p><img alt='' height='50' src='https://assets.swoogo.com/uploa
 ds/medium/5984546-68f3a07e93233.png' width='50' /></p>
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UID:33656232-3433-4463-b265-353262366265
ACTION:DISPLAY
DESCRIPTION:The rapid proliferation of AI tools across corporations and in 
 law firms is creating new and often unforeseen litigation risks—many of wh
 ich are emerging faster than legal teams can identify\, control\, or remed
 iate them. From AI-generated transcripts\, summaries\, and recordings crea
 ted without proper consent\, to automated decision-making embedded in ever
 yday workflows\, to AI being used to prepare for litigation\, these techno
 logies are reshaping how evidence is created\, stored\, altered\, and pres
 ented in disputes. This session examines AI use—whether enterprise-approve
 d or employee-initiated—are introducing new exposure across discovery\, ev
 identiary integrity\, privacy\, and litigation strategy. We will move beyo
 nd the theory to share practical frameworks for auditing AI data\, authent
 icating evidence\, and implementing defensible safeguards that protect you
 r organization in real-time. Discussion topics include:\n\n 	* Types of ris
 ks legal teams must now anticipate\, the challenges of tracing and defendi
 ng AI-influenced data\n 	* Emerging discovery and preservation challenges c
 reated by AI-driven transcription\, summarization\, and automated data pro
 cessing\n 	* Practical steps organizations can take to mitigate litigation 
 risk in an environment where AI usage is accelerating faster than policy\,
  training\, and oversight
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