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Why AI Policies Matter

  • Writer: Torsten Steiner
    Torsten Steiner
  • Jul 8
  • 2 min read

AI policy is key for any AI implementation strategy and is difficult to get right, the balance between protecting your data and allowing staff to use and experiment with AI should be considered.
AI policy is key for any AI implementation strategy and is difficult to get right, the balance between protecting your data and allowing staff to use and experiment with AI should be considered.

1 | Why every firm needs an AI policy

Algorithms that review term sheets or summarise board minutes save huge amounts of time, yet without clear rules they can just as easily leak sensitive information. A concise written policy provides certainty: it states which data may be processed, who is allowed to see it and when the emergency brake must be applied.


2 | The cornerstones of a sound policy

Law and compliance come first. The rules of the GDPR, and the forthcoming EU AI Act set the frame. Each application requires a documented legal basis. Data classification protects the crown jewels. A simple traffic-light scheme usually suffices: green for public material, amber for confidential content, red for strictly confidential data – red material never leaves the building. Technical controls make the rules stick. Access is role-based, logs are encrypted and every model query lands in an audit trail. People and culture decide success. Staff must know what to watch out for; mandatory data-protection training prevents most mis-steps.


3 | What we can provide

We have produced sample policies ranging from a two-page rapid start to a detailed twenty-page handbook and keep them current by consulting specialist IT and capital-markets law firms. On request we share extracts or advise on implementation.


4 | Introducing your own policy

  1. Make an inventory of every AI tool in use and all associated data flows.

  2. Assess the risk of each use case for law, reputation and finance.

  3. Adapt our template, add in-house details and a clear shutdown procedure.

  4. Submit the draft to external counsel for a legal check.

  5. Launch at leadership level, then run short training sessions for every team.

  6. Review the policy regularly; a quarterly or annual audit is usually enough to inspect logs and incorporate new EU guidance.


5 | Conclusion

A clear AI policy works like a seat-belt: it safeguards confidential deals, cuts GDPR risk and builds trust with investors. Firms that invest now in simple, comprehensible rules can scale AI later without sleepless nights. If you would like a template or an introduction to a specialist law firm, just let us know – we will be happy to help.

 
 
 

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