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Welcome to this week's edition of The Legal Wire!

Meta will start scraping every public EU post to train its models, unless users fill out a quick opt‑out form, just as Brussels unveils an “AI Continent” plan for mega‑data centers and fast‑track compliance help. Meanwhile, prosecutors say fintech founder Albert Saniger duped investors out of $40 million with a phantom “AI” that was really offshore manual labor, and a New York judge shut down a litigant’s deep‑fake avatar mid‑hearing.

This week’s Highlights:

• Industry News and Updates

• From Legal Text to Legal Code: The DeepTech Path to Judicial Automation

• Inside the Expert Witness Files: How Expert Radar Helps Lawyers See the Whole Picture

• AI Tools to Supercharge your producivity

• Legal prompt of the week

• Latest AI Incidents & The Legal Tech Map

➡️ Meta to Train AI on Public EU User Data, With Opt-Out Option | Meta will start training its AI models using public posts and interactions from adult users in the EU. The move aims to improve how Meta’s AI reflects European languages and cultures. Users will get notifications explaining the changes and can opt out via a simple form. Private messages and data from users under 18 won’t be used. Meta says the approach complies with EU laws and offers more transparency than competitors like Google and OpenAI.
^{April 14, 2025, Source: META}

➡️ Ex-Nate CEO Charged With Defrauding Investors Using Fake AI Claims | Albert Saniger, ex-CEO of fintech startup Nate, has been indicted for allegedly defrauding investors by falsely claiming the company used AI to power its e-commerce app. In reality, transactions were processed manually by workers in the Philippines and Romania. Saniger raised over $40 million by promising investors advanced AI tech. Prosecutors say he hid the human labor, even prioritizing investor transactions to avoid suspicion. The company collapsed in 2023, leaving investors with heavy losses.
^{April 13, 2025, Source: CBS News}

➡️ EU Unveils AI Continent Action Plan to Boost Global AI Standing | The European Commission launched its AI Continent Action Plan to position the EU as a global AI leader. The strategy focuses on building AI Factories and large-scale Gigafactories, expanding cloud infrastructure, and tripling EU data center capacity. The plan also includes new Data Labs, a Data Union Strategy, and the Apply AI Strategy to drive adoption in key sectors. A new AI Skills Academy and talent programs aim to close the skills gap, while an AI Act Service Desk will guide businesses on compliance.
^{April 9, 2025, Source: European Comission}

➡️ Man Uses AI Avatar in Court, Judge Not Amused | A New York man representing himself in court used an AI-generated avatar to present his legal argument, surprising judges and prompting an immediate shutdown of the video. When asked, Jerome Dewald admitted the speaker wasn’t real, leading Justice Sallie Manzanet-Daniels to scold him for misleading the court. Dewald later apologized, saying he used AI because he struggles to speak clearly and didn’t mean to deceive. The case highlights growing concerns about AI use in legal proceedings.
^{April 4, 2025, Source: NY Times}

Legal Technology

From Legal Text to Legal Code: The DeepTech Path to Judicial Automation

Today this is no longer a question of the future, it is a question of architecture. The issue is not whether AI will replace judges but what foundation such a system will be built upon. While most LegalTech startups are focused on optimizing routine tasks for lawyers, true automation of justice requires a different discipline. It is not about interfaces, chatbots, or precedent search engines. It is a formalized system of reasoning, logical, computational, and structurally open to verification.

Attempts to create judicial intelligence based on language models are doomed to fail. Law is not just text, and it is not opinion. It is a structure of reasoning at the intersection of logic, behavioral economics, and institutional norms. This structure is not only open to interpretation, it can be reconstructed mathematically. And that is precisely where DeepTech comes in.

Click here to continue reading the full article

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Legal Technology

Inside the Expert Witness Files: How Expert Radar Helps Lawyers See the Whole Picture

Beyond the CV

It’s one thing to scan an expert witness’s resume. It’s another to know how they’ve held up under cross-examination, whether they’ve contradicted themselves, or if they were quietly disqualified in a case across the country three years ago. That level of information would be incredibly useful for every witness — but who has the time to spend hours, or even days, conducting that kind of deep-dive research?

That’s where Expert Radar comes in.

Developed by Expert Institute, Expert Radar is an AI-powered tool designed to bring expert witness due diligence into sharper focus. It gives litigators a consolidated, searchable view of an expert’s litigation history, publications, media appearances, and professional affiliations — with red flags highlighted and inconsistencies brought to light.

Click here to continue reading the full review

🆕 Dioptra - Contract Analysis with a Laser Focus on Accuracy

🆕 Law Ruler - Cutting-edge Law Firm CRM, Client Intake, and Marketing Automation solutions that modernize your firm and turbocharge growth.

🆕 Belt - AI-driven requests from your email and chat, to meet you where you work.

Want more Legal AI Tools? Check out our
Top AI Tools for Legal Professionals

This prompt converts a scattered to‑do list into a clear, strategic action plan. By instantly ranking tasks by urgency and impact—and flagging what can be delegated—it helps lawyers focus on the work that moves the needle, trim low‑value busywork, and reclaim valuable hours each week.

Prompt: Provide a list of upcoming tasks for your matter—briefly noting each task’s deadline and potential impact on the case. Ask ChatGPT to:

- Categorize the tasks by Urgency (high / medium / low) and Impact (high / medium / low).

- Place them in a 2 × 2 matrix (e.g., “Do First,” “Schedule,” “Delegate,” “Defer”).

- Suggest an optimal sequence for completion, including estimated time blocks.

- Recommend delegation or automation options for lower‑impact items.

The Responsible AI Collaborative is a not‑for‑profit organization working to present real‑world AI harms through its Artificial Intelligence Incident Database.

View the latest reported incidents below:

⚠️ 2025-04-10 | Alleged AI-Generated Clone of Exante Brokerage Used to Defraud U.S. Investor via JPMorgan Account | View Incident

⚠️ 2025-04-09 | Jailbroken Lovable AI Allegedly Used to Generate and Host Phishing Pages, Steal Credentials, and Bypass Security | View Incident

⚠️ 2025-04-07 | Alleged Deepfake Investment Scam in Spain Defrauds 208 Victims of €19 million ($20.9 million) | View Incident

⚠️ 2025-03-31 | OpenAI's 4o Model Reportedly Enables Fraudulent Document Generation | View Incident

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