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Tax Authority Implements Advanced Enforcement Measures to Strengthen Compliance and Boost Revenue

The Tax Authority has unveiled a series of robust enforcement tools at the start of the new fiscal year, aimed at enhancing compliance and improving state revenue collection. These measures, introduced as part of a broad tax reform, provide for the sealing of business premises and the pledging of shares for tax debts exceeding €100,000.

Enhanced Compliance Measures Through Business Sealing

Under the new legal framework, tax officers are now empowered to suspend operations and seal business premises if the owners fail to submit the required tax returns. Specifically, failure to file two tax declarations, a minimum of twelve monthly declarations for withholdings and contributions, or at least three VAT returns, as defined in the VAT regulation, from January 1, 2027 onward, will trigger these actions. This extension until 2027 provides taxpayers with additional time to align with their obligations.

Procedural Steps and Warning Protocols

Prior to sealing a business, tax officers must follow a strict protocol by issuing three warnings. The initial notification is sent via registered letter or posted conspicuously at the business location, providing a 25-day compliance window. If compliance is not achieved within 10 days following the first warning, a second notification is dispatched with a further 10-day deadline. A third warning follows, accompanied by an invitation for the taxpayer to formally present their position within five days. Should the business remain non-compliant, the officer will execute the sealing order, with clear documentation of the precise timing and immediate delivery of the decision to the concerned party. In cases where the taxpayer cannot be reached, the decision will be publicly posted, ensuring transparency.

Increased Financial Sanctions and Pledge of Shares

In addition to sealing, the new measures extend to scenarios where the taxpayer fails to remit the due tax as per the declared amounts, including withholdings and VAT debts when the aggregate liability exceeds €20,000. Furthermore, the Tax Authority now has the power to pledge the shares of legal entities for tax liabilities that exceed €100,000 and remain unsettled for over 30 days. This share pledge, which can cover liabilities up to twice the outstanding tax plus accrued interest and penalties, is designed as a security measure. Prior to registration with the Company Registrar, the officer must send a written notice outlining the reasons for the intended pledge, allowing a 30-day period for the taxpayer to contest the decision.

Enforcement and Legal Ramifications

The implementation of these measures is supported by law enforcement cooperation to ensure immediate execution. For example, a visible barrier will be placed at the business entrance to indicate that the premises are sealed, with signage provided in both Greek and English. The sealing order takes effect upon publication in the Official Gazette, and any interference with the order is deemed a criminal offense subject to a penalty of up to two years imprisonment, a fine of €30,000, or both. Importantly, any legal challenge to the suspension does not halt the obligation to comply, nor does it impede the Tax Authority’s right to pursue recovery of the owed funds.

These decisive actions represent a significant shift in tax administration, reflective of a modernized approach that prioritizes fairness, flexibility, and effectiveness. By aligning enforcement with the contemporary economic landscape, the state seeks to robustly safeguard its revenue stream and ensure a more equitable fiscal environment for all parties involved.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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