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https://doi.org/10.2139/ssrn.6...
Article . 2026 . Peer-reviewed
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Article . 2026
License: CC BY
Data sources: Datacite
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Article . 2026
License: CC BY
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PROFESSIONAL RESPONSIBILITY IN THE AGE OF GENERATIVE AI A Comprehensive Framework for Ethical Implementation in Legal Practice

Authors: Shahrestani, Alex;

PROFESSIONAL RESPONSIBILITY IN THE AGE OF GENERATIVE AI A Comprehensive Framework for Ethical Implementation in Legal Practice

Abstract

The rapid adoption of generative artificial intelligence in legal practice has produced a regulatory inflection point. Nearly 950 documented instances of courts addressing AI-generated fabrications in legal filings, combined with the issuance of ABA Formal Opinion 512 and Texas Professional Ethics Opinion 705, have established that lawyers who deploy generative AI tools without adequate verification protocols face sanctions, malpractice liability, and disciplinary action. This memorandum synthesizes the governing ethical framework, examines the empirical evidence on AI reliability in legal contexts, analyzes the emerging sanctions jurisprudence, and proposes a risk-graded implementation model — the "Lawyer-in-the-Loop" framework — that satisfies professional responsibility obligations while capturing the efficiency gains AI tools offer. The memorandum further addresses the nascent evidentiary challenges posed by deepfake technology and recommends firm-wide governance structures for sustainable AI adoption.

Keywords

generative AI, professional responsibility, legal ethics, ABA Formal Opinion 512, Texas Opinion 705, hallucination, lawyer-in-the-loop, sanctions, deepfakes, technological competence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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