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California Courts Adopt Rule for Artificial Intelligence in Justice System

Key Takeaways
- California Judicial Council adopts first statewide rule and standard on generative AI, effective September 2025
- Rule mandates strict policies to protect confidentiality, prevent bias, and ensure accountability in court-related AI use
- Mixed reactions highlight national implications for public trust, job displacement, and the limits of technology in justice
By Samuel Lopez – USA Herald
California’s judicial system just made history. With the formal adoption of Rule 10.430 and Standard 10.80, the state’s courts are setting the first comprehensive framework in the nation for the use of generative artificial intelligence (AI) in court operations. Effective September 1, 2025, these new rules aim to balance innovation with the core values of confidentiality, impartiality, and public trust in the justice system.
This move comes as AI transforms industries across the globe—and as the legal sector grapples with both the promise and perils of machine learning in decision-making. California, home to both Silicon Valley and the country’s largest court system, now stands at the crossroads of technology and justice.
Why Now? A Wave of Change and Controversy
The California Judicial Council’s Artificial Intelligence Task Force, established by Chief Justice Patricia Guerrero in 2024, developed these rules amid growing public anxiety about AI’s impact on everything from hiring and health care to the rule of law itself. High-profile scandals over AI-generated legal “hallucinations,” discriminatory outputs, and data leaks have already led to sanctions and skepticism in courtrooms nationwide.
California’s courts—serving millions each year—recognized the urgent need for clear boundaries. As the Task Force’s report notes, “Adopting the proposed rule and standard will help promote responsible innovation in court operations while protecting confidential information, ensuring appropriate oversight, and maintaining public trust in the judicial branch.”
What the New Rules Require: Protection Over Peril
Rule 10.430 and Standard 10.80 collectively apply to the state’s superior courts, Courts of Appeal, and the Supreme Court. They require any court that doesn’t ban AI use entirely to adopt a detailed “generative AI use policy” by December 15, 2025. The core requirements are:
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California Judicial Council implements rule for generative artificial intelligence use in court

Policies must block confidential information from being input into public generative AI systems; they must also ban unlawful discrimination via AI programs. Court staff and judicial officers must also “take reasonable steps” to confirm the accuracy of material, as per a statement published by Reuters. Staff and judicial officers must also reveal whether they used AI if the final version of any publicized written, visual, or audio work was AI-generated.
Courts must implement their respective policies by September 1.
Task force chair Brad Hill told the council in a statement published by Reuters that the rule “strikes the best balance between uniformity and flexibility.” He explained that the task force steered clear of a rule that would dictate court use of the evolving technology.
Illinois, Delaware, and Arizona have also taken on generative AI rules or policies. New York, Georgia, and Connecticut are presently evaluating generative AI use in court.
California’s court system comprises five million cases, 65 courts, and around 1,800 judges. The AI task force was established to address the increasing interest in generative AI as well as public concern about its effect on the judiciary; it supervises the development of AI use policy recommendations in this branch.
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This Artificial Intelligence (AI) Stock Could Hit a $2 Trillion Valuation by July 31

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Meta Platforms’ recent rally has brought its market cap close to the $2 trillion mark.
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The digital advertising giant’s upcoming earnings report could help it hit this milestone.
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Meta’s ability to deliver strong returns to advertisers with the help of AI tools could help it grow at a faster pace than the end market in the long run, paving the way for more upside.
Meta Platforms (NASDAQ: META) stock has been rallying impressively of late, gaining more than 32% in the past three months amid the broader rally in technology stocks. As a result, Meta’s market cap has jumped to $1.8 trillion as of this writing on July 14, making it the sixth-largest company in the world.
Meta is slated to release its second-quarter results after the market closes on July 31. The company has been able to grow at a faster pace than the digital ad market thanks to the integration of artificial intelligence (AI) tools into its offerings, which could enable it to deliver another solid set of results later this month.
Given that Meta stock is just 11% away from entering the $2 trillion market cap club as I write this, there is a good chance it could achieve that milestone in July, driven by the tech stock rally and a healthy quarterly report.
Let’s look at the reasons why Meta stock is primed for more upside this month and in the long run.
It is worth noting that Meta’s earnings have been better than consensus expectations in each of the last four quarters. One reason is the increase in spending across its family of applications by advertisers. In the first quarter, for instance, Meta reported an impressive increase of 10% year over year in the average price per ad.
Ad impressions also increased by 5% from the year-ago period, which means the company is delivering more ads. This combination of higher pricing per ad and an increase in impressions delivered enabled Meta to report a 37% year-over-year increase in its earnings to $6.43 per share in Q1. However, investors should also note that the company has been aggressively increasing its capital expenditures (capex) to bolster its AI infrastructure.
It expects to spend $68 billion on capex in 2025, at the midpoint of its guidance range. That would be a massive increase over its 2024 capex of $39 billion. This explains why analysts are expecting Meta’s earnings to increase at a slower year-over-year pace of 13% for the second quarter to $5.84 per share. While the increased investment in AI-focused data center infrastructure is undoubtedly likely to weigh on Meta’s bottom line in the short run, the higher returns its AI investments are generating on the advertising front could help it beat the market’s bottom-line expectations. And beating expectations often sends a stock up, as investors react with excitement and optimism.
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