Oct 24, 2025
The promise of AI in legal tech has always been speed. But in personal injury law, speed without strategy is just a faster way to get a lowball offer. The true power of AI lies not in summarizing 5,000 pages of medical records in seconds—though that helps—but in framing the narrative before the adjuster even opens the file.
Most "Legal AI" tools treat a demand letter like a book report. They read the medical records and regurgitate facts: "Patient visited Dr. Smith on 10/12. Pain was 6/10."
This is factually accurate, but legally weak. It lacks the Theory of the Case. It doesn't argue why that 6/10 pain matters in the context of the client's life or the liability arguments.
Before you can argue, you must verify. One of the biggest fears attorneys have is "hallucination"—AI inventing a date or a dollar amount. This is why we built Fact-Lock™.
Unlike standard LLMs which "predict" the next word, our engine uses programmatic code to extract dates, billing codes (ICD-10/CPT), and dollar amounts. These values are "locked" and cannot be altered by the generative AI. This ensures that your special damages are mathematically perfect every time.
Once the facts are locked, the narrative needs direction. This is where Strategy Injection comes in. Instead of just clicking "Draft", Lexyno allows you to select a strategic angle:
The AI then rewrites the medical narrative through this specific lens. It doesn't change the facts; it changes the argument.
Finally, a better demand letter anticipates the defense. Lexyno generates a POV (Point of View) Report alongside your draft. This document simulates an Insurance Adjuster's analysis of your claim, flagging potential weaknesses like "Gaps in Treatment" or "Pre-Existing Conditions" before you send the letter.
By addressing these weaknesses in your initial demand, you disarm the adjuster's arguments upfront, leading to faster, higher settlements.
Put these strategies to work. Try a mock demand generated by Lexyno today.
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