Join us for a hands-on demo of Justinian 19.0\, the legal AI model currently used by in-house counsel at major companies like DoorDash and attorneys in state and federal agencies. Learn how to leverage Vulcan's 100M+ edge AI knowledge graph to work faster and smarter.
Key Features We’ll Explore: - Automatic Bluebook Citations: Instantly generate paginated Bluebook footnotes or correct existing citations in any document. - Ad Hoc Shepardization: Use AI to shepardize any court case\, map statutory authority for regulations\, and answer complex federalism questions. - Comprehensive Case Law Library: Access and analyze millions of court opinions dating back to 1600. - Subregulatory Guidance: Retrieve and analyze binding agency guidance often missing from standard legal databases. - Automated Tracked Changes: Instantly generate redlines and margin comments on documents of any size based on your prompts.
This is open to all students\, faculty\, and staff.
If you need an accommodation to participate in this event, please contact the event sponsor or the Texas Law Special Events Office at specialevents@law.utexas.edu no later than seven business days prior to the event. X-ALT-DESC;FMTTYPE=text/html:Join us for a hands-on demo of Justinian 19.0\, the legal AI model currently used by in-house counsel at major companies like DoorDash and attorneys in state and federal agencies. Learn how to leverage Vulcan's 100M+ edge AI knowledge graph to work faster and smarter.
Key Features We’ll Explore: - Automatic Bluebook Citations: Instantly generate paginated Bluebook footnotes or correct existing citations in any document. - Ad Hoc Shepardization: Use AI to shepardize any court case\, map statutory authority for regulations\, and answer complex federalism questions. - Comprehensive Case Law Library: Access and analyze millions of court opinions dating back to 1600. - Subregulatory Guidance: Retrieve and analyze binding agency guidance often missing from standard legal databases. - Automated Tracked Changes: Instantly generate redlines and margin comments on documents of any size based on your prompts.
This is open to all students\, faculty\, and staff.
If you need an accommodation to participate in this event, please contact the event sponsor or the Texas Law Special Events Office at specialevents@law.utexas.edu no later than seven business days prior to the event.
LOCATION:TNH 3.125 - Denius Classroom URL:https://law.utexas.edu/calendar/2026/04/21/88297/ CLASS:PUBLIC STATUS:CONFIRMED END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE-TIME;TZID=US/Central:20260422T115000 DTEND;VALUE=DATE-TIME;TZID=US/Central:20260422T131500 DTSTAMP:20260419T103600Z CREATED:20260416T160400Z LAST-MODIFIED:20260417T173200Z UID:20260422T115000-88319@law.utexas.edu SUMMARY:AI Wranglers DESCRIPTION:This is an information session to let current 1Ls and 2Ls know about the Texas AI Innovation and Law Program and introduce them to the various groups and projects available within the program that they may be interested in joining.
Some specific aspects of the program that will be highlighted are: AI Club\, where members learn about new AI tools\, develop expertise on them and present the tools to the wider student body\; AI Innovation Policy group\, where members can support Professor Frazier on various policy research work related to AI\; and finally the AI Ambassadors team\, where members have the opportunity to work on the Scaling Laws podcast and coordinate which features innovators and leaders in the AI and Technology space\, and run workshops for leading AI policy thinkers in the Austin area.
If you need an accommodation to participate in this event, please contact the event sponsor or the Texas Law Special Events Office at specialevents@law.utexas.edu no later than seven business days prior to the event. X-ALT-DESC;FMTTYPE=text/html:This is an information session to let current 1Ls and 2Ls know about the Texas AI Innovation and Law Program and introduce them to the various groups and projects available within the program that they may be interested in joining.
Some specific aspects of the program that will be highlighted are: AI Club\, where members learn about new AI tools\, develop expertise on them and present the tools to the wider student body\; AI Innovation Policy group\, where members can support Professor Frazier on various policy research work related to AI\; and finally the AI Ambassadors team\, where members have the opportunity to work on the Scaling Laws podcast and coordinate which features innovators and leaders in the AI and Technology space\, and run workshops for leading AI policy thinkers in the Austin area.
If you need an accommodation to participate in this event, please contact the event sponsor or the Texas Law Special Events Office at specialevents@law.utexas.edu no later than seven business days prior to the event.
LOCATION:TNH 3.125 - Denius Classroom URL:https://law.utexas.edu/calendar/2026/04/22/88319/ CLASS:PUBLIC STATUS:CONFIRMED END:VEVENT END:VCALENDAR