Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

2026

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 112951 - 112953 of 112953

Full-Text Articles in Entire DC Network

Space Mining, Richard Painter Jan 2026

Space Mining, Richard Painter

Articles

The Trump Administration and U.S. Congress are promoting new ventures to extract valuable minerals from outer space. This Article does not dismiss the idea out of hand, but explores reasons for caution, including practical problems with space mining, its environmental impact, the likelihood that the United States could violate international law, and the risk of armed conflict. These problems are exacerbated by financial conflicts of interest in our government with a handful of billionaires, who have a financial interest in space mining work. The promotion of their agenda could involve wasteful government spending on subsidies for private ventures, with a …


Large Language Scholarship, Alan Rozenshtein, Kevin Frazier Jan 2026

Large Language Scholarship, Alan Rozenshtein, Kevin Frazier

Articles

Generative AI isn’t just coming for the legal academy—the era of what we call “Large Language Scholarship” is already here. Law professors are using AI to write articles in weeks rather than months. Law reviews face an unprecedented deluge of AI-polished submissions. And the judges who increasingly lean on AI to help draft their own opinions will soon struggle to distinguish genuine insight from sophisticated imitation. Yet, existing scholarship offers only fragmented responses, trapped in misguided debates about plagiarism and disclosure while missing the full scope of the unfolding transformation.

This Article provides the first comprehensive analysis of how generative …


Independence First ... Or Don't Use It: A Fiduciary Standard For Law-Firm Use Of General Ai, Edward S. Adams Jan 2026

Independence First ... Or Don't Use It: A Fiduciary Standard For Law-Firm Use Of General Ai, Edward S. Adams

Articles

To counter these structural threats, this Article proposes a restrictive, fiduciary-based standard for the use of GPAI in substantive legal work. The proposed “Fiduciary-Grade & Independence Safeguards” (FGIS) standard posits that law firms should presumptively prohibit the use of GPAI for tasks involving legal analysis, strategy, or the synthesis of confidential facts and law. A firm may only depart from this default prohibition if it can certify, with auditable proof, the implementation of two pillars of protection: (1) robust safeguards that neutralize vendor influence and preserve the lawyer’s independent professional judgment, and (2) fiduciary-grade confidentiality controls, including private deployment and …