Series 4: Tech Law Standard Newsletter
An exclusive newsletter on AI regulation, data and privacy law, cybersecurity, digital assets governance, and internet law.
Welcome to the Series 4 round-up edition of Tech Law Standard. Tech laws are being reformed at an unprecedented pace. Therefore, we make sure you are up-to-date on the latest laws and regulations.
Our subscribers include tech founders, entrepreneurs, developers, engineers, legal professionals, compliance officers, policy analysts, investors, and anyone seeking timely insights and feedback on global tech law reforms.
👔 In this newsletter, we have curated for you a list of remote jobs in tech regulation, law and policy.
Series 4 includes five exciting stories and developments in tech law that will excite you 🤩
1️⃣ If AI Is Trained on Your Content Without Permission, What Rights Do You Have and Who’s Accountable? (New York Times v. Microsoft Corporation)
In New York Times Company v. Microsoft Corporation, the groundbreaking question was considered: Can tech giants legally use news articles to train artificial intelligence (AI) without permission?
This case pits respected news organizations like The New York Times against Microsoft and OpenAI, creators of powerful AI systems such as ChatGPT.
The journalists from the New York Times allege that their original reporting, often paywalled or copyrighted, was “scraped” and fed into AI systems that now spit out summaries, rewrites, or even near-verbatim reproductions of their work.
2️⃣ Behind the Scenes of Google’s Ad Tech Antitrust Case (United States of America v. Google LLC)
The main legal question in the ongoing case of United States of America, et al. v. Google LLC was:
Whether Google unfairly dominate key parts of the digital advertising market, harming competition and innovation? 🧩
The U.S. government and 17 states brought an antitrust lawsuit against Google, claiming the tech giant used its power to monopolize and control multiple layers of the online advertising industry, think of it like being the only gas station owner, oil supplier, and refinery in town, all at once. More specifically, the focus was on three areas:
Publisher ad servers (where websites manage and sell ad space)
Ad exchanges (where ads are bought and sold in real-time auctions)
Advertiser ad networks (tools advertisers use to buy ad space)
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3️⃣ Europe’s AI Act is Not Playing Nice with GDPR and That is a Big Problem for You
One of the most pressing concerns raised by EU Member States is the looming risk of double compliance, or even worse, double penalties. And this isn’t theoretical. It is a real risk for anyone developing or using AI systems in Europe under the GDPR regime.
Here’s the situation: under the AI Act, certain systems are labelled as “high-risk” because of their potential to impact safety or fundamental rights.
That includes systems used in hiring, credit scoring, education, law enforcement, and more. These systems must meet a strict set of technical, documentation, and oversight requirements. That’s one set of obligations.
But many of these same systems also rely on personal data. And the moment they do, the GDPR comes in. Now you are also responsible for purpose limitation, legal grounds, data minimisation, transparency, and user rights. That’s a whole second framework, with its own requirements, procedures, and consequences for non-compliance.
4️⃣ A Judge Uncovers Fake Case Citations That Could Have Been Written by AI (Ayinde v London Borough of Haringey)
In the Ayinde v London Borough of Haringey case, a major legal issue arose not from the substance of the homelessness claim, but from how the claimant’s legal representatives presented their arguments; specifically, their use (or misuse) of artificial intelligence (AI) to reference legal cases.
This spotlighted a troubling and increasingly relevant issue in the legal profession: the unsatisfactory reliance on AI tools for drafting legal case documents.
At the core of the controversy were five entirely fake legal cases cited in the claimant’s written arguments.
These fake cases were presented as if they were real High Court or Court of Appeal decisions, complete with legal principles supposedly extracted from them.
5️⃣ Yelp Challenges Google Over Its Search Engine Monopoly (Yelp Inc. v. Google LLC)
Can a tech giant like Google use its power as the go-to general search engine to unfairly dominate and limit competition in other specialised search markets like local business searches?
This practice is known as "self-preferencing"; imagine searching for a local café, and Google shows you results from its own products first, even if other sites may have better or more accurate information.
Yelp claims this behaviour is not just competitive, it is anticompetitive, that is, it goes beyond healthy business rivalry and starts hurting fair market access.
This newsletter encompasses five updates from Tech Law Standard, exploring Google’s antitrust trial and the implications of training AI on copyrighted content without permission. A comparative analysis of the EU’s AI Act and GDPR highlights regulatory overlaps and tensions.
The Ayinde case exposes the dangers of fake legal citations generated by AI tools, while the Yelp v. Google case demonstrates growing antitrust scrutiny in digital markets.
Collectively, these updates reflect the urgent need for legal systems to adapt to AI’s complexities and to ensure accountability in automated, data-driven environments.
👔 Remote jobs related to technology regulation, law and policy:
AI Training for Government & Public Sector, Outlier (New Zealand-Remote)
Assistant General Counsel, Conduent (USA-Remote)
Graduate Legal Counsel - Tech Sector, Canonical (Turkey-Remote)
Legal Document Processing Specialist, DNA Partners (USA-Remote)
Legal Intern, Calstart (USA-Remote)
Legal Operations, Lawyers on Demand (USA-Remote)
Legal Pre-Sale Consultant, SA-Global (UK-Remote)
Regulatory Performance & Assurance Officer APAC, dLocal (Singapore-Remote)
Research Analyst, Harbor Global (USA-Remote)
Senior Information Governance & Data Law Consultant, Anson McCade (UK-Remote)
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