European Patent Office Deploys Mistral AI OCR Model to Modernize Patent Processing
The European Patent Office has deployed an advanced optical character recognition (OCR) model developed by Mistral AI to improve the quality and efficiency of its patent granting process. The system converts non-machine-readable documents into structured data, enabling more accurate prior-art searches and analysis.
Developed through a joint proof-of-concept project, the model was fine-tuned using selected patent data to handle multilingual text, complex formulas, chemical structures, and older scanned publications. The technology has now been fully integrated into the EPO’s digital infrastructure following a successful three-month evaluation.
The collaboration aligns with the EPO’s AI Policy and Strategic Plan 2028, which emphasize the use of responsible AI technologies to enhance operational resilience. The partnership also supports European digital sovereignty by ensuring that sensitive patent information is processed within European legal and ethical frameworks.
The EPO processes around 200,000 patent applications and grants annually and manages a database containing over 160 million technical records. The organization plans to further refine and scale the OCR solution based on operational experience.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Nov 3 OpenAI Loses Bid to Block GemGPT Trademark in Singapore Nov 3 South Korea doubles AI and chip spending to $16 billion for 2027 Nov 3 India Launches DEPA Handbook for Secure AI Training Nov 2 Perplexity Earns First FedRAMP 20x Class C Certification Under CR26 Nov 2 New York Times and other publishers sue Brave over AI scrapingAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Crédit Agricole Partners With Mistral AI on Banking Agents
Orange Cyberdefense Gets Early Access to Cyber Version of Mistral Large 4
Mistral AI Releases 1 Trillion Parameter Mistral Large 4
Mistral AI Releases Mistral Large 4 Weights
Elsevier Pledges 4,000 AI Tool Licenses for European Researchers
Daily AI Brief: the AI news that matters, in your inbox.