The Babushkinsky District Court of Moscow recognized as lawful the dismissal of sales director of GC Energoprof, Ekaterina Remizova, for disclosing commercial secrets – the employee was forwarding work documents to her personal email and uploading them to the DeepSeek neural network. This is reported by RAPSI and RIA Novosti.
Remizova worked at the company from April 18, 2025, with a salary of over 800,000 rubles per month. In September 2025, she had already faced disciplinary action, which was followed by dismissal for disclosing information protected as a secret by law.
What the employee was accused of
The employer established that Remizova sent documents regarding participation in a tender and a file with colleagues' salary data to her personal email, and also put her personal address in the blind copy field when forwarding corporate correspondence. In addition, she was uploading protected information from the company's internal resource – including PowerBI reports with statistics on deals, incoming funds, and financial performance of departments – to the third-party service DeepSeek, developed by the Chinese company of the same name.
The court emphasized: the very act of uploading commercial secrets or confidential information into the DeepSeek artificial intelligence system already constitutes disclosure of such information.
An additional basis for dismissal was the disclosure of the company's strategic plans to the supplier "Sibtorgservice": Remizova informed them of the intention to launch the "Energogram" brand on the market and establish direct supplies of generators from China, after which the counterparty stopped communicating. The employer also referred to systematic failure to meet sales targets.
The "golden parachute" demand and the outcome of the proceedings
After her dismissal, Remizova went to court demanding to recognize the order as illegal, change the grounds for dismissal to "by mutual agreement of the parties," and to recover the 5 million ruble "golden parachute" provided for in an additional agreement. The company did not admit the claim. During the process, the defendant offered a settlement agreement with a payment of over 400,000 rubles – half of the monthly salary – but the plaintiff refused it.
The court pointed out that Remizova had no operational need to extract information from the employer's protected media, send it to an uncontrolled external address, and place it on the third-party DeepSeek resource. These actions were qualified as a gross violation of labor duties.
The outcomes of the case:
- The demand for payment of the 5 million ruble "golden parachute" was rejected, as this payment is provided only upon termination of the contract by mutual agreement of the parties or due to staff reduction;
- One of the disciplinary penalties was deemed unjustified, and the company was ordered to pay 10,000 rubles in compensation for moral damages;
- The remainder of the claim, including recognizing the dismissal as unlawful, was dismissed.
The court's decision on case No. 02-1545/2026 has not yet entered into legal force and can be appealed.
AI Opinion
From the perspective of machine data analysis, the Remizova case reflects only part of a broader problem: the DeepSeek service allows data leakage not only through private file uploads but also through its own Share function. Information security specialist David Konitsny discovered that the Google search engine freely indexes dialogues from the chat.deepseek.com/share/ directory, and they can be found with a simple query: site:chat.deepseek.com/share/. The system's warning that the link can be opened by "anyone who has it" says nothing about possible indexing by search engines – and it is in this gap between the expectation of privacy and the technical structure of the service that an additional risk lies for companies whose employees use such tools.
It turns out that even without malicious intent, a temporary link can turn into a permanent digital footprint containing fragments of code, work tasks, and financial data. How widespread is the practice of accidentally disclosing corporate information through such "temporary" links in other neural network services?
