Show HN: I automated forensic accounting for divorce cases (3 min vs. 4 weeks)

6 pointsposted 2 months ago
by cd_mkdir

Item id: 46350044

3 Comments

nishilpatel

a month ago

The LIBR logic is straightforward, but OCR quality, auditability, and evidence integrity are what make this usable in the real world.

lawyers care about chain of custody, auditability, and immutability makes this less of an “AI app” and more of a compliance workflow tool, which might matter a lot for positioning.

On B2C vs B2B: individuals feel this once, lawyers feel it every case — which usually determines who actually pays.

The biggest risk seems less about accuracy and more about how courts classify the output (calculator vs expert opinion). That likely drives both liability and pricing.

Have you run this past a practicing family lawyer or forensic accountant yet, even informally?

cd_mkdir

a month ago

OP here – thanks for the feedback. I just pushed an update to address the Chain of Custody concerns.

The system now generates immutable forensic reports with SHA-256 integrity hashes for every document. Also added a regression suite to verify the tracing algorithm against known edge cases. The focus is definitely shifting from just "AI wrapper" to "Audit Compliance tool.

Case: https://exitprotocols.com/static/documents/Sterling_Forensic...

vitruvian_man

2 months ago

I don't have much feedback on the project or space you're in but wanted to note that find this interesting.

I've read mixed reviews about OCR-3. I'm a bit surprised this hasn't been your experience. Many others note Gemini is good at this type of task. Curious how you came to find that OCR-3 was best suited for your needs?

Maybe a 1x payment option or token-based option for individuals who just want to use this service 1x? You could also workshop it with smaller legal firms to see if they'd actually find it useful.