---
type: "post"
id: "findings-of-fact-conclusions-of-law-and-judgment-ed6fb0"
slug: "findings-of-fact-conclusions-of-law-and-judgment-ed6fb0"
title: "Findings of Fact, Conclusions of Law and Judgment"
description: "A New Mexico district-court judgment says a jury found Meta liable for 43,899,725 willful violations of the state’s Unfair Practices Act and orders a $25 billion civil penalty."
retrieval_nugget: "A New Mexico district-court judgment says a jury found Meta liable for 43,899,725 willful violations of the state’s Unfair Practices Act and orders a $25 billion civil penalty. The case matters to teams building on user data because it puts legal weight behind the gap between platform promises and operational reality."
published_at: "2026-11-13"
updated_at: "2026-11-13"
record_date: "2026-11-13"
date_kind: "published_at"
topics: []
entities: ["Meta Platforms","Raúl Torrez","New Mexico First Judicial District Court","App Developer Investigation","CrossCheck"]
related_patterns: ["agent-security-moves-to-runtime-boundaries"]
novelty_label: "new_fact"
what_changed: null
prior_refs: []
source_url: "https://nmcourts.gov/wp-content/uploads/2026/10/Findings-and-Conclusions-21-Oct-26-D101CV202100132.pdf"
source_urls: ["https://nmcourts.gov/wp-content/uploads/2026/10/Findings-and-Conclusions-21-Oct-26-D101CV202100132.pdf"]
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status: "published"
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editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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markdown_url: "https://newruntime.com/posts/findings-of-fact-conclusions-of-law-and-judgment-ed6fb0.md"
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# Findings of Fact, Conclusions of Law and Judgment

## Retrieval answer

A New Mexico district-court judgment says a jury found Meta liable for 43,899,725 willful violations of the state’s Unfair Practices Act and orders a $25 billion civil penalty. The case matters to teams building on user data because it puts legal weight behind the gap between platform promises and operational reality.

## Summary
A New Mexico district-court judgment says a jury found Meta liable for 43,899,725 willful violations of the state’s Unfair Practices Act and orders a $25 billion civil penalty. The case matters to teams building on user data because it puts legal weight behind the gap between platform promises and operational reality.

## What happened
The First Judicial District Court in Santa Fe issued findings, conclusions and judgment in New Mexico v. Meta Platforms, Inc. The State, represented by Attorney General Raúl Torrez, brought the case against the company formerly known as Facebook, Inc. The court’s findings say a 12-person jury decided questions of liability, unconscionability, willfulness and the number of violations. It found 43,899,720 willful unfair or deceptive trade-practice violations and five willful unconscionable-practice violations, for 43,899,725 in total. The judgment orders a $25 billion civil penalty.

The court describes 26 public representations found unlawful and willful, spanning May 24, 2010 through August 18, 2021. They concerned users’ control of data, third-party access and misuse, misinformation, hate speech and equal enforcement of Facebook’s Community Standards. The findings say the statements appeared through multiple channels, including Facebook’s platform, newsrooms, earnings calls, television, print and online interviews, and conferences. Some were made by senior executives, including Mark Zuckerberg and Sheryl Sandberg.

On data control, the court says the jury found all six statements it considered deceptive and willful, accounting for 10,459,944 violations. On third-party app access, the findings recount Facebook’s 2014 public announcement that it would end “friend sharing,” under which an app could access information about users’ friends. The court says Facebook had planned exemptions for favored partners before the announcement and later allowed those exemptions without disclosing them. It also describes the App Developer Investigation (ADI), conducted from about March 2018 to March 2021 after the Cambridge Analytica revelations. The court says Facebook promised audits, bans, deletion and user notifications, but the investigation conducted 14 forensic audits; internal materials identified about 116 banned developers associated with about 125,000 apps; and users were notified about two apps. The findings say investigators identified at least 2,000 apps associated with misuse.

The judgment also discusses content moderation and enforcement. It says the jury found repeated statements about identifying misinformation and hate speech to be unlawful and willful, and found three statements about equal application of Community Standards unlawful and willful. The court describes CrossCheck, or XCheck, as a system that gave certain high-profile accounts additional review before enforcement, potentially leaving violating content visible longer than for ordinary accounts. It cites an average of about 12 days to a final decision for U.S. accounts in CrossCheck review, as reported to the Oversight Board.

## What the archive adds
New Runtime’s earlier coverage has tracked Meta’s platform and infrastructure activity, including [Nvidia’s planned $3 billion investment in Meta alongside work on Muse](https://newruntime.com/posts/nvidia-investing-3-billion-in-meta-in-muse-56f888/) (November 12, 2026). That is a different story; this judgment adds a new legal and governance thread, rather than a new fact about the investment.

## Trend signal
This supports the broader concern behind [agent security moves to runtime boundaries](https://newruntime.com/patterns/agent-security-moves-to-runtime-boundaries/): systems need enforceable boundaries and observable behavior, not just assurances. The case is about a social platform, not agents, so the connection is an analogy rather than direct evidence about agent runtimes.

## Why now
The judgment makes the jury’s findings and the court’s penalty concrete in a case covering more than a decade of public representations. Its timing turns a long-running dispute over platform governance into an immediate legal and financial consequence for Meta.

## Why it matters
For teams building AI products, the case is a reminder that data-use promises have to map to actual system behavior. If a product says users control access, that claim needs to hold across APIs, developer permissions, retention, internal review and exceptions—not only in the visible settings surface. If a company promises to investigate misuse or notify affected users, it needs records and operational capacity to do that at scale.

The judgment’s specific findings concern Facebook and New Mexico law, and do not establish a rule for every AI product. But the underlying engineering problem is familiar: users and customers cannot verify a platform’s internal data flows directly. Teams should treat auditability, clear permission boundaries and evidence of enforcement as product requirements. In AI systems, those controls also matter when models, agents or third-party tools can act on customer data.

## Limits and uncertainty
This is a trial-court judgment and the excerpted findings do not establish the status of any appeal or later proceedings. The court’s findings report what the jury and judge concluded in this case; they are not independent verification of every underlying allegation. The public document covers multiple categories of representations and violations, and the total violation count should not be read as a count of distinct users or separate data incidents. The judgment orders a $25 billion penalty, but the final amount paid and timing of payment are not established here.

## Reader takeaway
The key lesson is operational: public commitments about data, moderation and enforcement need to match how a platform actually works. For builders, maintain evidence that permissions, investigations, user notices and exceptions function as promised; policy language alone is not a control.

## Open question
How will the judgment fare in any appeal, and what practical changes will it drive in Meta’s data and enforcement systems?

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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