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Zoom Webinar

Reasoning with Transformers (NEW)


AI in Legal Practice: Architecture, Ethics, and Accountability – Part One
Credit(s): 2 General (60-minute hour)
2 General (50-minute hour)
Course Number: E16022606W
Original Program Date: February 12, 2026
Duration: 2 hours 15 minutes
Date: February 12, 2026
10:00 AM - 12:15 PM ((GMT-05:00) Eastern Time (US & Canada))
Special Offer
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Passport: This product is Passport Eligible 
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Category: CLE, Alternative Dispute Resolution (CLE), Bankruptcy and Debtor-Creditor (CLE) ... (show more)
Category: CLE, Alternative Dispute Resolution (CLE), Bankruptcy and Debtor-Creditor (CLE), Business & Corporations (CLE), Commercial & Consumer Law (CLE), Constitutional Law (CLE), Criminal Law (CLE), Education Law (CLE), Elder Law (CLE), Employment and Labor Law (CLE), Environmental Law (CLE), Family Law (CLE), Government Law (CLE), Health Law (CLE), Intellectual Property Law (CLE), International Law (CLE), Law Practice Management (CLE), Litigation (CLE), Real Property Law (CLE), Taxation (CLE), Tort Law (CLE), Trusts, Wills & Estates (CLE) (show less)
Credits: 2.0 general credit hours (Note: This class may be eligible for technology credit in those jurisdictions having such a requirement.)
 
Series Description: This four-part series demystifies the technical foundations and legal implications of modern artificial intelligence (AI). Designed for attorneys and legal professionals with some knowledge of AI, the series provides a structured exploration of how neural networks and transformers function, how “agentic” AI systems are evolving, and what ethical, procedural, and constitutional considerations accompany their use in legal settings. You will leave with a grounded understanding of how AI systems actually work — and how to ­evaluate, supervise, and responsibly integrate them into legal practice.
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Class Description: The opening class in this series provides a foundational overview of neural networks – their structure, training processes, and operational logic. The session then delves into the transformer architecture, explaining how it fuses and interprets language, image, and other multimodal data. The class concludes with an exploration of reinforcement learning techniques and how they are used to encourage transformers to approximate “reasoning” chains.
 
You will learn why neural networks are not “computer brains,” how the advent of large reasoning models fits within this reality, and how the transformer architecture enables more nuanced, multimodal processing. You will leave with a clear conceptual framework for understanding how these systems function and where their limits lie.
 
You may also be interested in the other classes in this series: Agentic Workflows, Tool Calling, and Planning with Transformers; Working Alongside AI Responsibly & Ethically 2026; and AI and Adjudication.
 
Faculty: Todd Smith, D.C.’s Office of the Chief Technology Officer
 
Cosponsor: D.C.’s Office of the Chief Technology Officer
 
Save $60 by clicking the Special Offer tab above!
 
Series Fees: $0 D.C. Government Attorneys, $296 D.C. Bar Communities Members, $336 D.C. Bar Members, $376 Government and Nonprofit Attorneys, and $456 Others
 
Individual Class Fees: $0 D.C. Government Attorneys, $89 D.C. Bar Communities Members, $99 D.C. Bar Members, $109 All Other Government and Nonprofit Attorneys, and $129 Others
 
The D.C. Bar CLE Program now offers discounted group registration rates! For more information, contact the CLE Office at CLE@dcbar.org or 202-626-3488.
2 General (60-minute hour)  

2 General (50-minute hour)  

Registration FeesEarly RegistrationStandard
Non-MemberN/A$129.00
D.C. Bar MemberN/A$99.00
D.C. Bar Regular Community MemberN/A$89.00
Other Government & Nonprofit AttorneysEarly RegistrationStandard
Non-MemberN/A$109.00
D.C. Government AttorneysEarly RegistrationStandard
Non-MemberN/A$0.00

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