Founder & Managing Partner at Skarbiec Law Firm Group
actual Steganography ? When Contracts Tell Two Stories – One for Humans, One for Machines
The document sits on the desk. The attorney flips through page after page, recognizing familiar clauses, nodding along. Everything appears to be in order. Meanwhile, the A.I. enlisted to help analyze the text has just been compromised. The document contains specifically engineered linguistic patterns – invisible to human readers, toxic to machines – that systematically warp the artificial intelligence’s judgment.
The text contains no falsehoods. It contains something subtler: a trap door that opens only for algorithms. The lawyer reads one thing. The algorithm reads another. Not a single word is untrue, yet every word carries dual meaning- one for the attorney, another for the machine. This isn’t a lie. It’s something worse: truth told in such a way as to deceive only one of its listeners.
I call this phenomenon contractual steganography – a term I propose for this emerging category of risk. The concept is my own; the academic literature does not yet contain research specifically devoted to A.I. manipulation in the context of legal documents. But the vulnerabilities on which such manipulation depends are well documented. Prompt injection, semantic priming, context-window attacks – these are known and studied vectors of assault on large language models. My contribution lies in weaving these scattered threads together and showing how they form a coherent picture of threat to legal practice. The risks aren’t invented; they’re translated into language and context that concerns every attorney using A.I. today.
We’re not talking about hidden text in background colors, instructions buried in metadata, or any tricks a competent lawyer would catch with minimal diligence. We’re talking about something far more subtle: legal language constructed to appear entirely ordinary to the human eye while systematically manipulating the artificial intelligence analyzing it. Every word is visible. Every sentence can be read. And yet the document tells two different stories.
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How Hidden Phrases in Legal Documents Can Manipulate AI Review
