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X-WR-CALNAME:Harvard Law School - Events
X-ORIGINAL-URL:https://hls.harvard.edu/calendar/
X-WR-CALDESC:Harvard Law School - Events
BEGIN:VEVENT
UID:20260114T2130Z-1768426213.4962-EO-737408-1@10.73.7.237
STATUS:CONFIRMED
DTSTAMP:20260501T041750Z
CREATED:20260114T202230Z
LAST-MODIFIED:20260114T202230Z
DTSTART;TZID=America/New_York:20260311T122000
DTEND;TZID=America/New_York:20260311T132000
SUMMARY: HLS Beyond Presents: Ethical AI for Lawyers
DESCRIPTION: Dharma Frederick ('06) and Barbara Taylor lead this session on
  Ethical AI based on a new CLE requirement for lawyers at DLA Piper\, desig
 ned in collaboration with Casetext. At this workshop you will learn about r
 eal\, trustworthy applications of generative AI\, including legal research\
 , document review\, and contract analysis.
X-ALT-DESC;FMTTYPE=text/html: <p><a href="https://www.linkedin.com/in/dharm
 a-betancourt-frederick-556195b9/">Dharma Frederick</a> ('06) and <a href="h
 ttps://www.linkedin.com/in/barbara-taylor-39291a8/">Barbara Taylor</a> lead
  this session on Ethical AI based on a new CLE requirement for lawyers at <
 a href="https://www.dlapiper.com/en-us">DLA Piper</a>\, designed in collabo
 ration with Casetext. Between “robot lawyers” and sanctions from judges for
  misuse of AI\, it can be hard to navigate this powerful new tool. At this 
 workshop you will learn about real\, trustworthy applications of generative
  AI\, including legal research\, document review\, and contract analysis.  
 Learn how to distinguish between responsible and irresponsible uses of AI a
 nd discern how to apply existing legal ethics requirements to generative AI
 . <a href="https://forms.gle/Sso45crLYwP1MUyS8">REGISTRATION REQUIRED</a>. 
 <em>Lunch will be provided</em>.</p>
CATEGORIES:Program/Workshop
LOCATION:Langdell Hall\; 232/233 Langdell
GEO:0;0
ORGANIZER;CN="Emily Rider Neill":MAILTO:eneill@law.harvard.edu
URL;VALUE=URI:https://hls.harvard.edu/events/hls-beyond-presents-ethical-ai
 -for-lawyers/
ATTACH;FMTTYPE=image/jpeg:https://hls.harvard.edu/wp-content/uploads/2026/01/download.jpg
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TZID:America/New_York
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TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20260308T070000
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