Turning a data dump into evidence

My friend is acting as her own attorney in a Workers’ Comp claim. The defense ignored her Motion to Compel and dropped a 2,000-page discovery file burned onto a CD from 1978. She doesn’t have a $500/hour legal team to spend days sorting through it.

She has me. And I have Claude—specifically Opus.

We processed all 2,000 pages in about an hour. 50% was duplicative garbage. 800 pages sent for a neck consult included colonoscopy results and three years of pap smears. Same pattern as the pap smear records in the spine file I wrote about yesterday.

By trying to overwhelm her, Sedgwick didn’t just violate discovery rules. Sedgwick documented its own bad faith. Within sixty minutes, we had a full analysis matrix showing the court exactly how this “dump” was designed to obscure rather than reveal.

What Reverse Discovery Looks Like

It felt a lot like Reverse Discovery—using AI to turn a data dump into an evidentiary liability for the sender.

For decades, large institutions—insurers, TPAs, law firms—won not by being right, but by being heavier. Creating so much administrative friction that the individual gives up. Sedgwick wasn’t providing information. Sedgwick was dumping a bucket of digital sludge, hoping she would drown in it.

My reaction wasn’t frustration. It was: “Thank you for the gift.”

The analysis revealed clinical voyeurism built into the system: gynecological records sent to orthopedic consultants, colonoscopy results included in spine evaluations, pharmacy histories that have nothing to do with a neck injury. None of this is accidental. It’s a design that assumes the patient will never look at page 854.

The Sedgwick’s of the world are sluggish, paper-driven dinosaurs who may not wake up to the new reality for quite some time. Good. Their ways of doing business are so ingrained in what will pass versus what is right that it will take years for them to restructure. Until now, document volume was defense. That worked when processing required legal teams. Now both sides have laptops.

Who Should Hold the Records

If I controlled my own records, I wouldn’t be “requesting” access. I’d be the one granting it.

I don’t want to discuss childhood trauma with my cardiologist. And I shouldn’t have to “request” that my own medication list be updated. In a Reverse Discovery world: I own the key. My medical and legal data stay in a secure vault. When an institution wants access, my AI gatekeeper filters for relevance—not a clerk.

If a doctor or an AI denies a claim, or if a TPA decides that a colonoscopy is “relevant” to a neck injury, show the reasoning. What evidence was considered? What evidence was ignored? If you can’t show the logic, the data shouldn’t be accessible.

The doctor gets exactly what’s needed to treat me. The insurer gets exactly what’s needed to process the claim. Nothing more.

Currently, the architecture is inverted. Hospitals and insurers hold the “Master” record, and we’re forced to use their portals to “request” access to our own information. This is a design failure that prioritizes institutional convenience over patient care.

In the next architecture, the reverse is true. You hold the Master record in a Personal Vault. If a law firm, employer, or doctor needs information, they come to your portal. They request a specific “module” of data, and you decide if it meets the HIPAA “Minimum Necessary” criteria.

What’s Changing

The “dump it so we can deny” days are, happily, numbered. And, what’s even more exciting, the end of auto-denials is getting closer.