{"id":1311,"date":"2026-07-02T18:40:33","date_gmt":"2026-07-02T18:40:33","guid":{"rendered":"https:\/\/blog.franke-ip.com\/en\/?p=1311"},"modified":"2026-07-02T21:12:30","modified_gmt":"2026-07-02T21:12:30","slug":"when-the-patent-office-costs-more-than-the-attorney","status":"publish","type":"post","link":"https:\/\/blog.franke-ip.com\/en\/when-the-patent-office-costs-more-than-the-attorney\/","title":{"rendered":"When the Patent Office Costs More Than the Attorney: Two Scenarios for the Future of the IP Industry in the Age of Artificial Intelligence"},"content":{"rendered":"\n

The Quiet Reversal of the Cost Structure<\/h2>\n\n\n
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For decades, an unspoken rule of thumb governed the patent world: the office is cheap, the attorney is expensive. Anyone looking to reduce the cost of a patent filing turned the attorney screw \u2014 shorter specifications, leaner searches, more input from the inventor.<\/p>\n\n\n\n

At the European Patent Office (EPO), that rule of thumb has long since ceased to apply. Official fees have overtaken attorney drafting fees. A European proceeding now costs more in pure official fees than the drafting of the application itself \u2014 and the gap is widening.<\/p>\n\n\n\n

It is precisely this reversal that sets up the question set to reshape the IP industry in the coming years: What happens when Artificial Intelligence drastically reduces one side of the cost equation \u2014 and not the other?<\/strong><\/p>\n\n\n\n

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The Cost Comparison in Numbers<\/h3>\n\n\n\n

Consider a typical constellation: entry into the European phase (or a direct filing) with 20 patent claims<\/strong>, pursued through the 5th renewal year<\/strong>. The figures are based on the EPO schedule of fees as in force from 1 April 2026.<\/p>\n\n\n\n

EPO Official Fees<\/strong><\/p>\n\n\n\n

Item<\/th>Amount<\/th><\/tr><\/thead>
Filing fee (online)<\/td>\u20ac135<\/td><\/tr>
European search fee<\/td>\u20ac1,595<\/td><\/tr>
Designation fee<\/td>\u20ac720<\/td><\/tr>
Examination fee<\/td>\u20ac2,010<\/td><\/tr>
Claims fees (claims 16\u201320: 5 \u00d7 \u20ac290)<\/td>\u20ac1,450<\/td><\/tr>
Subtotal \u2014 entry\/examination<\/strong><\/td>\u2248 \u20ac5,910<\/strong><\/td><\/tr>
3rd year renewal fee<\/td>\u2248 \u20ac690<\/td><\/tr>
4th year renewal fee<\/td>\u2248 \u20ac845<\/td><\/tr>
5th year renewal fee<\/td>\u2248 \u20ac1,000<\/td><\/tr>
Subtotal \u2014 renewal fees (years 3\u20135)<\/strong><\/td>\u2248 \u20ac2,535<\/strong><\/td><\/tr>
Total EPO official fees<\/strong><\/td>\u2248 \u20ac8,445<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Note: Renewal fees at the application stage follow the applicable schedule of fees; the 3rd and 4th year renewals were raised above average with effect from 1 April 2026. The figures above are rounded to this order of magnitude.<\/em><\/p>\n\n\n\n

Attorney Drafting<\/strong><\/p>\n\n\n\n

Item<\/th>Amount<\/th><\/tr><\/thead>
Drafting and filing of the application<\/td>\u20ac3,000 \u2013 \u20ac5,000<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

The result is striking and, for many clients, counterintuitive: even today \u2014 without any AI \u2014 the pure EPO official fees in this model case, at roughly \u20ac8,400, sit well above the attorney drafting fee of \u20ac3,000 to \u20ac5,000.<\/strong> The office has become the larger cost block, not the attorney.<\/p>\n\n\n\n

This figure is the lever on which everything that follows turns. Because AI initially acts on only one of the two sides \u2014 the attorney’s.<\/p>\n\n\n\n

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Scenario 1: The Attorney Becomes Cheap, the Office Stays Rigid<\/h3>\n\n\n\n

AI-supported tools for claim drafting, specification generation, and prior-art search substantially reduce the attorney workload per application. The drafting fee \u2014 already the smaller item \u2014 falls further, to a fraction of its former level.<\/p>\n\n\n\n

On the office side, in this scenario, nothing happens.<\/p>\n\n\n\n

That is not an unrealistic assumption; it follows institutional logic. The EPO is a monopolist without competitive pressure. It pursues its own objectives, which are not aligned with the cost interests of applicants \u2014 among them safeguarding the employment and continued standing of a large examiner workforce. An authority with this incentive structure does not necessarily pass on AI-driven efficiency gains in the form of lower fees; it may just as readily channel them into institutional preservation, reserves, or political latitude. The most recent fee round \u2014 an increase in most core fees from 1 April 2026, with above-average rises in the early renewal fees \u2014 points to a rigid, upward-tending fee regime rather than to any pass-through of efficiency gains.<\/p>\n\n\n\n

The consequences for firms:<\/strong><\/p>\n\n\n\n

If value creation per mandate shrinks on the attorney side, but overall demand for IP rights does not grow to the same degree, a displacement dynamic sets in. The same work is done by fewer people in less time. The number of mandates a single attorney can handle rises \u2014 the total number of mandates awarded does not.<\/p>\n\n\n\n

The result is a market in which more and more attorneys compete for fewer and fewer economically viable mandates<\/strong>. The price of legal work falls, margins erode, and the efficiency gains from AI accrue not to the profession but are passed through to clients under competitive pressure. The office’s rigid cost block, meanwhile, prevents falling attorney costs from pushing the total cost of a filing low enough to noticeably stimulate demand. The office remains the bottleneck \u2014 and firms bear the adjustment burden alone.<\/p>\n\n\n\n

In this scenario, AI is not a growth driver for firms but an accelerant of consolidation.<\/p>\n\n\n\n

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Scenario 2: Both Sides Give Way \u2014 The Filing-and-Grant Machine<\/h3>\n\n\n\n

The second scenario rests on a bolder assumption: the office, too, opens up to AI and passes on the efficiency gains. This becomes possible because here AI is not merely cheaper, but simultaneously better.<\/p>\n\n\n\n

The decisive technical point is search<\/strong>. A near-perfect, machine-driven search for novelty-destroying prior art \u2014 across all languages, databases, and document classes \u2014 reduces the cost of the most labour-intensive part of examination while at the same time raising its quality. For the first time, cost reduction and quality improvement coincide rather than pulling against each other.<\/p>\n\n\n\n

If both<\/strong> cost sides \u2014 attorney and office \u2014 fall at once, the entire economic calculus of the patent system tips over. Protecting even the smallest improvements becomes financeable. The number of new filings can rise dramatically.<\/p>\n\n\n\n

At the end of this trajectory stands an industry that transforms into a filing-and-grant machine<\/strong>: applications are generated by machine, searched by machine, examined by machine, and granted by machine \u2014 a procedure that, in routine operation, no longer requires any human interaction. The inventor supplies the core technical information; everything downstream runs automatically.<\/p>\n\n\n\n

Litigation, too, becomes a machine matter.<\/strong><\/p>\n\n\n\n

Automation does not stop at grant. In opposition and revocation proceedings, the intensive search for novelty-destroying prior art is the core of every dispute \u2014 and this is exactly where AI is strongest. What today ties up weeks of attorney and office work becomes a fast, exhaustive machine search.<\/p>\n\n\n\n

A two-tier model becomes conceivable:<\/p>\n\n\n\n