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AI legal-exposure review

Before you put AI into the business, read where it exposes you.

A written legal-exposure read of an AI adoption or deployment, focused on where it could become a dispute, a regulatory file, or a claim.

Israel has no single AI statute. That does not mean AI use is unregulated: the exposure runs through the Protection of Privacy Law, sharpened by Amendment 13 and active enforcement, through sector rules, and through ordinary liability, discrimination, and safety law. An organisation adopting an AI tool inherits all of that at once. The firm reads the deployment for that exposure. It does not build the system, write the policy, or run the rollout.

The work spans
  • Privacy and data exposure when AI processes personal data, under the Protection of Privacy Law and Amendment 13.
  • Transparency duties where AI makes or supports decisions about people (the automated-decision expectations the Privacy Protection Authority is signalling).
  • Bias and discrimination exposure in hiring, credit, and similar AI-assisted decisions.
  • Exposure from the content an AI tool generates and the organisation then relies on or publishes, read for liability and regulatory risk in use.
  • Exposure that stays with the organisation when it relies on a third-party AI tool: responsibility for the output and the data does not move to the tool.
  • Cross-border exposure for clients with EU users: the EU AI Act and data-adequacy layer.
  • You are adopting an AI tool that will process customer or employee personal data.
  • You use, or plan to use, automated decisions that affect people - hiring, credit, eligibility.
  • You publish content produced with generative AI and are unsure of the exposure.
  • You have EU users and need to know how the EU AI Act and data rules reach you.

The firm reads the deployment against the framework that actually binds it - the privacy law, the relevant sector rules, the regulator's published direction - and asks the disputes question: where does this generate a claim, a regulator file, or a liability, and how would it be defended. The deliverable is a written exposure read with the risks ranked, not a compliance programme the firm installs for you. Where the exposure is real, it sets out what a dispute would look like, so the decision to deploy is made with the downside in view.

04 · What you get

A written exposure read

The legal risk in an AI deployment, ranked, in plain terms, before you commit.

The regulator's likely view

Where the Privacy Protection Authority and sector rules are heading, applied to your use.

Dispute-readiness, not a sales pitch

If the exposure is real, what the dispute looks like and how it would be run.

An organisation deploying an AI tool that processes personal data and supports decisions about individuals asks for a read before go-live. The firm maps the exposure under the privacy law and Amendment 13, flags the automated-decision transparency gap and the discrimination risk, and sets out the dispute and enforcement scenarios so the rollout decision is made with the downside priced.

Described in abbreviated, anonymised form to preserve client confidentiality.

Does Israel have an AI law?

Not a dedicated one; Israel uses a sector-by-sector, principles-based approach, and the binding exposure for most businesses runs through the Protection of Privacy Law, in particular Amendment 13, plus ordinary liability and discrimination law.

Do I have to tell people when AI makes a decision about them?

The Privacy Protection Authority is signalling transparency and human-oversight expectations for automated decision-making, so an AI system that decides or materially supports decisions about people carries real disclosure exposure.

Can I be sued for what my AI tool produces?

Yes; using an AI tool does not move the liability for its output away from you, which is exactly the exposure this review is built to surface.

What if I have users in the EU?

Then the EU AI Act and EU data rules add a second layer on top of Israeli law, and the cross-border exposure should be read together, not separately.

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