Modernizing Discovery: How AI Medical Record Review Solves Compliance and Speed

Look, I don’t like wasting time. If you’re an attorney or a paralegal, you’ve spent your weekends buried under a mountain of medical records that look like they were scanned through a screen door. It’s a mess. Most of the industry is still doing this the old way: hiring expensive human reviewers who take three weeks to find a single missing lab report, or worse, trying to do it yourself between hearings.

I’ve been looking into how we can stop this grind. Specifically, I read a piece over at Ditto Transcripts that talks about the shift toward specialized services. They pointed toward Superinsight.ai, and honestly, it’s exactly the kind of stuff we talk about here at New Sky Security—software that’s actually compliant and built for the weight of enterprise legal work.

What’s actually going on here?

Medical record review isn’t just “reading.” It’s a forensic investigation into someone’s life. You’re looking for the timeline of when a patient was treated, who did it, and—crucially—what they didn’t do.

The traditional way is broken. You get 3,000 pages. You pay someone $400 to summarize it. You wait 10 days. You realize they missed a pre-existing condition that nukes your causation argument. That’s a bad day.

Using Ditto & Superinsight.ai medical record review is flipping that script. It’s an AI-only system. No human reviewers sitting in a room looking at your sensitive PHI. It takes those thousands of pages and builds a medical chronology in about an hour. Sometimes less.

Why you should care (The Practical Facts)

If you aren’t using an automated system for this yet, you’re losing money on every file. Here is the reality:

• The “Click-to-Source” Factor: This is the most important part. If an AI tells you “The plaintiff complained of back pain in 2018,” you need to see the original ink on the page. The system links every finding back to the exact page and section of the original PDF. No hunting.
• Standard of Care Gaps: In malpractice, you’re looking for deviations. The AI flags inconsistencies—like a doctor’s note that contradicts an imaging report—that a tired human eyes might miss at 2 AM.
• Cost: We’re talking about $28 per case versus hundreds of dollars for manual review. If you can’t see the ROI there, I can’t help you.

Common Mistakes

People think “AI” means “ChatGPT.” Do not put medical records into a general-purpose AI. That is a HIPAA violation waiting to happen. Those models often “learn” from your data. Superinsight doesn’t. They are ISO 42001 certified and HIPAA compliant; the data stays in your silo.

Another mistake is waiting until the end of discovery to do a full review. You should do this at intake. If the case is a loser because of a pre-existing injury, you want to know that before you spend $10k on experts.

What happens if you get this wrong?

If you don’t have a solid, verified chronology, you look like an amateur during a deposition. If the defense pulls out a record you didn’t know existed, or a date you got wrong, your settlement value drops. It’s that simple.

You need a “force multiplier.” Software shouldn’t just be a shiny tool; it should do the heavy lifting so you can actually be a lawyer. It’s doing for medical records what we’ve been trying to do for software compliance—making it grounded, fast, and actually useful.

Stop sifting through PDFs. Let the machine do the grunt work. Stay grounded.