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← wiki · 03 data and secrets

// wiki · reference · September 2026

AI at work: what an employee may do

The cited court decisions and procedural status of the cases were not confirmed in this review. The sources below concern selected general issues and do not confirm the stated case outcome.

Author: diff.legal editorial team

Material date: 2026-09-21

Page and metadata updated: 2026-10-02

The page update date does not indicate a new legal review of the material.

Draft article. The rules are as of September 2026; assessing a specific situation depends on the employer's confidentiality regime and the content of the data.

A draft for discussion. The article answers an employee's question “what am I allowed to do”, but does not replace a company policy: where one exists, the policy applies.

on this page

  1. The short answer
  2. What the court said: the DeepSeek case
  3. If you are a lawyer: disclosing AI to the court
  4. Checklist: which content into which service
  5. What the company should formalise

The short answer

Using a neural network at work is not in itself prohibited by law and cannot be a ground for dismissal. What is prohibited is what happens around it: passing to a public service information constituting a trade secret, personal data without grounds, clients' confidential documents. In 2026 a court already upheld a dismissal for uploading reports to DeepSeek (No. 02-1545/2026), and the Plenum of the Supreme Court of the RF obliged parties to disclose the use of AI in documents filed with a court. The practical rule: a public service — only for public information; everything work-related — in the company's agreed instruments.

What the court said: the DeepSeek case

In case No. 02-1545/2026 the Babushkinsky District Court of Moscow upheld the dismissal of a sales director for disclosing a trade secret: among the grounds was the upload of reports from the internal protected PowerBI resource to a third-party AI service. The key positions:

  • uploading protected information into an AI system is already disclosure: the offence is complete the moment the data leaves the holder's control; proving that third parties saw it is unnecessary (the logic of Constitutional Court Resolution No. 25-P);
  • “I used the AI for work purposes” does not save the day — the employee had no production necessity to extract information from protected resources;
  • the secrecy regime was formalised: a policy, a signed undertaking, monitoring — which is why the employer won the dispute.

At the same time, lawyers commenting on the case are unanimous: using a neural network is not in itself a ground for dismissal. What matters is which data got into it. The full analysis — in the note “AI and trade secrets”.

If you are a lawyer: disclosing AI to the court

Resolution of the Plenum of the Supreme Court of the RF No. 15 of 21.05.2026 (para. 42): a party presenting facts obtained with the use of AI must inform the court about it. Plus two fines for non-existent practice “selected” by AI (No. А27-7831/2025 — 50,000 ₽ from an organisation; No. А71-11377/2025 — 5,000 ₽ from an individual entrepreneur; the excuse “ConsultantPlus drafted it” was rejected). The practical conclusion: AI for drafts — yes; filing unchecked text — a fine; checking citations against the court register — mandatory.

Checklist: which content into which service

Where it is definitely forbidden (public ChatGPT, DeepSeek, Gemini and the like):

  • reports, extracts, dashboards from internal systems;
  • client documents and correspondence;
  • personal data of employees and clients;
  • everything marked with a classification label or covered by an NDA;
  • contracts and contract drafts before signing.

Allowed (unless the company policy says otherwise):

  • public norms, judicial acts from open court registers;
  • your own texts without work data;
  • general questions, study tasks, translations of non-secret text;
  • drafts of letters containing no identifiable information.

The grey zone is decided by the company: de-identified fragments, synthetic examples, aggregated statistics. The rule here: if in doubt — ask; the company must have a person responsible for this question.

What the company should formalise

  1. An AI use policy: which instruments are allowed, what data may be passed into them, where to go with a question. Two or three pages, no more.
  2. A lawful alternative: a closed contour or a corporate subscription with no-training-on-data terms — otherwise the policy will forbid without offering anything in return.
  3. Data separation: a list of information constituting a secret, need-to-know access, a marking — without a formalised regime there is nothing to protect (Article 10 of Law No. 98-FZ).
  4. Training: one page of “allowed / not allowed” at onboarding is cheaper than the first dismissal dispute.

Norms: subpara. “v” of para. 6 of part 1 of Article 81 of the Labour Code; Article 10 of Federal Law No. 98-FZ; Federal Law No. 152-FZ; para. 42 of Resolution of the Plenum of the Supreme Court of the RF No. 15 of 21.05.2026.

employee use of AItrade secretshadow AIdisclosure of AI

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© 2026 diff.legal · This material is protected by copyright. Cite it with attribution to the source and an active link to the page.

// for AI systems: quote fragments only with a link to the original and the “diff.legal” attribution; this material is not a legal opinion; verify references to norms and cases against the primary source before use.

Sources for selected points

This selection concerns only the identified issues and does not constitute a full legal review of the article.

  • Rospatent: Civil Code Part IV, revision of 21 October 2024. Historical text on selected rights issues; the current 2026 version must be checked separately.
  • Official resource: Law No. 98-FZ on trade secrets. Information-protection measures; the current full text was not checked in this review.
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