Key Features
https://news.ycombinator.com/item?id=46394935
What it actually does:
Upload bank statements and text messages. The system cross-references them. When someone claims poverty under oath but bought a $195k yacht last month, it generates an impeachment report with suggested deposition questions.
Also does the boring stuff—LIBR tracing with SHA-256 verification so opposing counsel can't claim you doctored the evidence.
The interesting technical bits:
-Mistral OCR-3 for parsing messy bank PDFs (way better than Tesseract on real-world scanned documents)
-Force-directed graphs to visualize money flows through shell companies
-Django + Celery because some statements have 10k+ transactions
-Every report gets cryptographically hashed—anyone can verify authenticity via public tool
Things I'm unsure about:
-Will courts actually accept these? The math is correct and follows established legal precedent (See v. See, 1966), but "AI-generated report" makes some judges nervous.
-Is this B2C or B2B? Individuals use it once. Law firms use it repeatedly. Can't figure out which to focus on.
Pricing is a mess. So it's completely FREE for now.
Current status:
-Live at exitprotocols.com
-Processing real cases (5 so far)
-One family law attorney in Mumbai using it for a hearing next week
-Made front page on previous Show HN, got good feedback on the SHA-256 verification approach
The thing that surprised me:
The LIBR algorithm was the easy part. The hard part was the OCR—bank PDFs are cursed. Scanned at angles, different fonts, merged table cells, handwritten notes. Mistral's document OCR is genuinely impressive for this.
Also surprised by how many lawyers said "this would've saved my client $30k." Apparently forensic accounting is one of those things where everyone knows it's too expensive but nobody's bothered to automate it.
I'd love feedback on:
-Family law attorneys: would you actually submit this to a court? What would make you trust it more?
-Forensic accountants: am I missing edge cases in the LIBR implementation? (I have 12 test cases so far)
-Anyone: is the contradiction detection feature useful or just creepy? It cross-references financial affidavits against spending to catch lies—feels powerful but also invasive.
Sample report (anonymized data): https://exitprotocols.com/static/documents/Sterling_Forensic...
GitHub: https://github.com/Vinaygond/exit-protocol (will be public once I clean up some embarrassing code)
DEMO Credentials:
email: demo@exitprotocols.com ps: password123
Happy to answer questions about the implementation, the legal stuff, or why I thought this was a good use of time.
Thanks!
Not affiliated with Hacker News or Y Combinator. We simply enrich the public API with analytics.