I automated forensic accounting for divorce cases (3 min vs. 4 weeks)
Details
- External ID
- 46350044
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- Dec. 22, 2025
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.2652671755725191
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Burned about 1 weeks on this. Not sure if it's useful to anyone beyond my original use case, but figure I'd share.Friend went through a nasty divorce. Had $750k going into the marriage (inheritance), put it in a joint account like an idiot. Five years later, account's been up and down, money mixed with paychecks and mortgage payments. Lawyer says "you need a forensic accountant to trace what's still yours." Quote comes back: $5k, 4 weeks minimum.I'm sitting there thinking - this is just transaction categorization and some relatively simple math (the "Lowest Intermediate Balance Rule" if you want to google it). Why doesn't software exist for this?Turns out it kind of doesn't. There are $50k enterprise tools for big law firms, but nothing a normal person or small practice can actually use.So I built a Django app that takes bank statement PDFs, uses latest Mistral's OCR-3 to parse them (because real-world bank PDFs and shots are a nightmare - scanned, rotated, weird formats), then runs them through an LLM to categorize transactions and a Python implementation of the LIBR algorithm.Output is a court-usable report showing exactly how much of your "separate property" is still traceable, with visualizations and evidence logging (SHA-256 hashing for chain of custody, audit trails, the works).Its FREE and whole process takes about 3 minutes. I'm in India and honestly just want to see if people use it.What's really interesting:-Latest Mistral's document OCR-3 is genuinely impressive on messy banking PDFs. Tried Tesseract first, got maybe 60% accuracy.-The LIBR algorithm is conceptually simple but has some gnarly edge cases (what happens when account hits zero? how do you handle multiple deposits of separate property? etc.)-Evidence integrity was harder than expected. Lawyers care a LOT about proving a document hasn't been tampered with.-Used Celery because some statements have 10k+ transactions and you can't block the requestCurrently running on Render with Postgres. Code's not open source yet because honestly it's kind of a mess and I need to clean up some stuff, but might do that if there's interest.Things I'm unsure about:-Should it be free? Subscription? How much? Bring your won key? Cause I'm putting money out of my pocket.-B2C vs B2B - individuals might use this once, but lawyers could use it repeatedly.-How much do I need to worry about legal liability for the output? I have disclaimers everywhere but stillAnyway, it's live: https://exitprotocols.com.Would love feedback, especially if you've dealt with this problem before or know the family law space.
Enrichment
- Theme
- spreadsheet and tabular data tools
- Vertical
- Legal
- Function
- Workflow automation
- Audience
- B2B
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- forensic accounting automation for divorce cases
- Manually corrected
- False
Could you build this?
Partial A web UI to upload statements is simple, but legally defensible forensic accounting requires complex deterministic financial tracing rules (e.g., lowest intermediate balance rule) and high-accuracy parsing of varied bank statement PDFs.
What it would actually take: A production version requires a robust document parsing pipeline (using OCR/table-extraction engines like AWS Textract or custom PDF parsers) combined with deterministic accounting rule engines modeling forensic tracing standards (such as LIBR, proportional commingling, or asset-tracing doctrines under family law). Backend needs Python/SQL with double-entry ledgers and audit trail generation, along with specialized legal-accounting domain knowledge to ensure court admissibility.
Discussion
3 comments analyzed.
Competitors mentioned: Gemini (for OCR tasks), GPT-4 OCR
Concerns raised: OCR quality variability across models, Court classification of output as calculator vs expert opinion affecting liability, Chain of custody and evidence integrity in forensic workflows, Market fit uncertainty - whether lawyers/firms will actually adopt
Feature requests: One-time payment or token-based pricing for individual users, Comparison/validation against Gemini for OCR performance
Competitors
Other products that read as similar to this one — 143 launches clear the similarity bar, closest 8 shown.
Attention rank: #124 of 144 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 49 days after the earliest competitor.
- Replacing $50k manual forensic audits with a deterministic .py engine · hn · 2026-03-14 · 5 upvotes · similarity 0.80
- EstateLedger · ph · 2026-09-15 · 1 upvotes · similarity 0.50
- Thistle · ph · 2026-09-19 · 1 upvotes · similarity 0.48
- Forensic-accounting-audit-shield · github · 2026-09-10 · 10 upvotes · similarity 0.45
- FORENSICDOCAUDIT · ph · 2026-09-13 · 1 upvotes · similarity 0.44
- I got fired so I built a bank statement converter · hn · 2025-11-04 · 16 upvotes · similarity 0.44
- divvi · ph · 2026-09-08 · 2 upvotes · similarity 0.43
- Tin Validate, a tax ID validator that explains why checks pass or fail · hn · 2026-06-20 · 5 upvotes · similarity 0.41
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a workflow automation tool for Real estate yet.