According to a recent LinkedIn post from Anytime AI, the company is drawing attention to legal risks around the use of public AI tools in law practice. The post notes that a federal court ruling this year suggests attorney-client privilege can be jeopardized if lawyers use public AI systems whose policies permit storing inputs or training on uploaded files.
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The company’s LinkedIn post highlights closed AI as a contrasting approach, emphasizing tools that do not train on user data or share case materials with third parties. The post promotes a blog that explains how this model may help plaintiff firms preserve confidentiality and manage data privacy obligations.
For investors, the focus on closed AI positions Anytime AI within a risk-sensitive segment of the legal technology market, where compliance and confidentiality are central purchasing criteria. If plaintiff firms increasingly avoid public AI due to privilege concerns, vendors offering privacy-preserving architectures could see stronger demand and potentially higher pricing power.
The post suggests Anytime AI is targeting plaintiff-side practices that handle large volumes of sensitive case data, a niche that may support recurring, workflow-embedded revenue. Over time, traction in this segment could enhance customer stickiness and provide a defensible moat against more generalized AI providers that rely on data aggregation and model training from user inputs.
More broadly, the highlighted court ruling underscores regulatory and legal uncertainties that may shape adoption curves for AI in professional services. Companies that can align their products with emerging data privacy and privilege expectations may be better positioned to win enterprise contracts, mitigate regulatory risk, and sustain long-term growth in the legal AI category.