DRAI SOLVES THESE PROBLEMS BY USING A CURATED, CLOSED-LOOP AI ENGINE
AI systems cannot promise accuracy because they rely on uncontrolled internet data. AI tends to “make this up” when it doesn’t know the answer or have the correct information. Open AI systems cannot promise accuracy because they rely on open-source data that has not been verified.
HOW DRAI ELIMINATES THESE RISKS
The Problem with Open-Source AI Models
Open models hallucinate because they are trained on massive, non-curated datasets from across the internet. When information is missing or uncertain, they generate the most statistically likely answer, even when that answer is wrong. This is acceptable for casual tasks but dangerous for legal work. In short: open AI tools are not designed to maximize legal accuracy.
DRai: A Closed-Loop, Legal-Trained AI Built for Reliability
DRai solves these problems by using a curated, closed-loop AI engine trained exclusively on verified legal sources. No open-internet data. No guesswork. To date, our AI platform has not hallucinated or generated false information. This approach ensures: Accuracy
Consistency Each analysis is based on the same verified framework.
Safety Our human-in-the-loop ensures the results are not hallucinated.
Because the model only draws from validated legal material.
DRai’s legal-trained engine supports landlords by providing dispute analysis, dispute resolution process, and decision-making assistance.
By removing the ambiguity that plagues open AI tools, DRai helps landlords avoid the very mistakes that led to sanctions in the cases above.
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