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BEGIN:VEVENT
UID:422834176c3cc7a8754ae16e0a3b0bfe6e177018@swoogo.com
DTSTAMP:20260420T005237Z
DESCRIPTION:As artificial intelligence (AI) continues to reshape the busine
 ss world\, organizations are confronted with increasingly complex challeng
 es in governing these technologies responsibly and effectively. Legal team
 s are uniquely positioned to lead the development and implementation of ro
 bust AI governance frameworks\, yet traditional compliance methods often p
 rove inadequate in keeping pace with the rapid evolution of AI and the shi
 fting regulatory environment. Legal Data Intelligence (LDI) and the strate
 gic application of data-driven insights and analytics can be critical enab
 lers for meeting these demands. This session will examine how LDI can be l
 everaged to build a more efficient\, transparent\, and risk-conscious appr
 oach to AI governance. Attendees will discover how to transcend manual\, s
 iloed processes by adopting scalable\, technology-driven strategies that a
 ddress the entire lifecycle of AI systems within their organizations. The 
 discussion will cover practical methods for applying Legal Data Intelligen
 ce principles to streamline policy development\, enhance training and comp
 liance\, address cybersecurity risks\, inventory AI tools\, conduct risk a
 ssessments\, and manage data governance. Participants will leave with acti
 onable LDI insights to transform their AI governance practices and drive r
 esponsible innovation within their organizations.\n\n 	* Articulate the rol
 e of Legal Data Intelligence in building scalable\, transparent\, and risk
 -conscious AI governance frameworks across the full lifecycle of AI system
 s\n 	* Implement practical LDI strategies for policy development\, inventor
 ying AI tools\, compliance monitoring\, conducting risk assessments\, and 
 addressing cybersecurity and data governance concerns\n 	* Operationalize r
 esponsible AI practices that align with evolving regulatory expectations a
 nd enable sustainable innovation\n 
DTSTART:20260310T153000Z
DTEND:20260310T163000Z
LAST-MODIFIED:20260420T005237Z
LOCATION:Room 406.2
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Leveraging Legal Data Intelligence to Streamline AI Governance: Pra
 ctical Strategies for Legal Teams
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p>As artificial intelligence (AI) continues t
 o reshape the business world\, organizations are confronted with increasin
 gly complex challenges in governing these technologies responsibly and eff
 ectively. Legal teams are uniquely positioned to lead the development and 
 implementation of robust AI governance frameworks\, yet traditional compli
 ance methods often prove inadequate in keeping pace with the rapid evoluti
 on of AI and the shifting regulatory environment. Legal Data Intelligence 
 (LDI) and the strategic application of data-driven insights and analytics 
 can be critical enablers for meeting these demands. This session will exam
 ine how LDI can be leveraged to build a more efficient\, transparent\, and
  risk-conscious approach to AI governance. Attendees will discover how to 
 transcend manual\, siloed processes by adopting scalable\, technology-driv
 en strategies that address the entire lifecycle of AI systems within their
  organizations. The discussion will cover practical methods for applying L
 egal Data Intelligence principles to streamline policy development\, enhan
 ce training and compliance\, address cybersecurity risks\, inventory AI to
 ols\, conduct risk assessments\, and manage data governance. Participants 
 will leave with actionable LDI insights to transform their AI governance p
 ractices and drive responsible innovation within their organizations.</p>
 \n\n<ul>\n	<li>Articulate the role of Legal Data Intelligence in building s
 calable\, transparent\, and risk-conscious AI governance frameworks across
  the full lifecycle of AI systems</li>\n	<li>Implement practical LDI strate
 gies for policy development\, inventorying AI tools\, compliance monitorin
 g\, conducting risk assessments\, and addressing cybersecurity and data go
 vernance concerns</li>\n	<li>Operationalize responsible AI practices that a
 lign with evolving regulatory expectations and enable sustainable innovati
 on<br />\n	 </li>\n</ul>\n\n<p><img alt='' height='50' src='https://assets.
 swoogo.com/uploads/medium/5984546-68f3a07e93233.png' width='50' /></p>
BEGIN:VALARM
UID:37633566-6262-4361-b930-343961323637
ACTION:DISPLAY
DESCRIPTION:As artificial intelligence (AI) continues to reshape the busine
 ss world\, organizations are confronted with increasingly complex challeng
 es in governing these technologies responsibly and effectively. Legal team
 s are uniquely positioned to lead the development and implementation of ro
 bust AI governance frameworks\, yet traditional compliance methods often p
 rove inadequate in keeping pace with the rapid evolution of AI and the shi
 fting regulatory environment. Legal Data Intelligence (LDI) and the strate
 gic application of data-driven insights and analytics can be critical enab
 lers for meeting these demands. This session will examine how LDI can be l
 everaged to build a more efficient\, transparent\, and risk-conscious appr
 oach to AI governance. Attendees will discover how to transcend manual\, s
 iloed processes by adopting scalable\, technology-driven strategies that a
 ddress the entire lifecycle of AI systems within their organizations. The 
 discussion will cover practical methods for applying Legal Data Intelligen
 ce principles to streamline policy development\, enhance training and comp
 liance\, address cybersecurity risks\, inventory AI tools\, conduct risk a
 ssessments\, and manage data governance. Participants will leave with acti
 onable LDI insights to transform their AI governance practices and drive r
 esponsible innovation within their organizations.\n\n 	* Articulate the rol
 e of Legal Data Intelligence in building scalable\, transparent\, and risk
 -conscious AI governance frameworks across the full lifecycle of AI system
 s\n 	* Implement practical LDI strategies for policy development\, inventor
 ying AI tools\, compliance monitoring\, conducting risk assessments\, and 
 addressing cybersecurity and data governance concerns\n 	* Operationalize r
 esponsible AI practices that align with evolving regulatory expectations a
 nd enable sustainable innovation\n 
TRIGGER:-PT15M
END:VALARM
END:VEVENT
END:VCALENDAR
