I Built a Tool to Turn Case Record Chaos Into Review-Ready Intelligence
I’m building DriftReview after seeing how much time case-review teams lose before the real analysis even begins.
Over the past year, I’ve been doing consulting work in injury causation analysis for automotive accident cases through the Injury Causation Consulting Group (ICCG). A big part of that work involves reviewing large case record sets: medical records, provider notes, case documents, billing records, imaging references, and other supporting materials.
One thing became obvious very quickly:
Before anyone can do the higher-value analysis, someone has to fight through the document chaos.
In a typical case, that can mean hundreds or thousands of pages that need to be reviewed, organized, and turned into something usable. You’re trying to answer basic but critical questions:
What happened, and when?
Which providers were involved?
Who are the key individuals?
Where are the important events buried?
How do we reference everything clearly later?
Even the “administrative” parts are time-consuming. Building a timeline takes time. Identifying key personnel takes time. Consolidating documents into a single Bates-numbered package for clean reference takes time.
That work matters, but it can eat days or even weeks before the team gets to the deeper case analysis.
So I started building DriftReview.
DriftReview is a case-record review platform that turns large legal and medical record sets into structured case intelligence. It helps generate timelines, case analysis, key individuals, and consolidated Bates-numbered outputs from complex document packets.
The goal is not to remove the analyst from the process. It is to give professional review teams a faster path from scattered records to organized case intelligence, so analysts can spend more time applying judgment and less time buried in manual document work.
What used to require days of record organization can now be reduced to minutes.
I’m currently developing DriftReview from a real workflow and exploring how best to position it for professional review teams, litigation-support groups, medical-record reviewers, and consulting firms that regularly deal with large case packets.
I’d love feedback from other founders, especially anyone who has sold vertical SaaS into professional-service firms:
Would you lead with speed, structured outputs, or analyst leverage?
And for this type of product, would you expect pricing to be per case, monthly by volume, or a hybrid?
Getting buried under hundreds of pages before any real review can happen is a frustrating bottleneck.
One thing that stands out is that a trusted timeline often becomes the shared reference point for everyone involved, not just the reviewer.
When people try it, do they get the most value from the timeline output or from identifying key people and events?
I’m glad you understand the pain!
That’s tough but if I had to answer, I’d say more value comes from the timeline output because of the actual correlation that happens when extracting facts pairing them with accurate dates and outputting an understandable timeline.
Thanks for the comment!
I'd be careful treating this as a positioning question too quickly.
The interesting question may not be whether buyers respond more strongly to speed, structured outputs, or analyst leverage.
It may be which decision they're actually trying to make when they bring a tool like this into their workflow.
Those sound similar, but they can lead to very different conclusions about positioning, pricing, and what signals deserve confidence early on.
I wouldn't make that call casually from the current information.
If they’re in the same situation my team and I were in, the decision to make is “how do we shorten our document ingest/processing/organizing from days/weeks to minutes so we can do our actual analysis?”
It’s bizarre, it’s a very simple solution but has saved us countless hours on case analysis work.
Possibly.
The reason I stopped short earlier is that I don't think the interesting part is the answer itself.
I think there's a more important decision sitting underneath it.
That's one of those things that can quietly shape positioning, pricing, and how future validation gets interpreted.
I wouldn't try to unpack that properly in a thread.
If you're curious, drop your email and I'll put together the tighter version.