The problem
A divorce production is the messiest discovery in legal practice.
Other litigation arrives pre-organized — invoices in one folder, contracts in another. Family-law discovery does not. Clients hand you a ZIP of everything: years of bank PDFs, brokerage statements, joint tax returns, kids' tuition receipts, screenshots of texts, photos of jewelry, deeds. A junior paralegal then sits with all of it and asks one document at a time, which numbered request does this respond to?
8,400
Median documents in a contested NY divorce production
~7 hrs
Paralegal hours to manually identify and route them
12 min
With BatesFlow's AI classifier, including paralegal review
How it works
Three passes. One reviewer. Court-ready output.
BatesFlow's classifier is purpose-built on the document mix that shows up in matrimonial discovery, not the contracts-and-invoices mix that general legal AI tools were trained on.
Pass 01
OCR & document boundary detection
Every page — including scanned bank statements and photos of receipts — runs through Claude Vision OCR. The model detects where one document ends and the next begins, so a 432-page mixed PDF becomes 38 distinct documents.
Pass 02
Document type classification
Each document is tagged: bank_statement, brokerage_statement, tax_return, deed, credit_card, retirement_account, and 24 more. Categories are tuned for matrimonial practice, not generic eDiscovery.
Pass 03
Routing to discovery requests
The classifier reads opposing counsel's Demand for Discovery & Inspection, then maps each classified document to the numbered request it responds to. A 2024 brokerage statement routes to "Request 14: Investment Accounts." A matrimonial agreement surfaces for human review.
Inside BatesFlow
Review the classifier's work in one screen.
Every classified document shows you the AI's pick, its confidence score, and the reasons it routed the way it did. Override any decision with one click — the model learns within the case, not across cases. By the time you click Generate production, you've audited what the classifier got right and corrected what it didn't, and you have a deterministic record of every decision in the Bates Index.
Compared to general legal AI
Family law has different documents than BigLaw.
General legal AI tools — Harvey, CoCounsel, Spellbook — are extraordinary at contracts, briefs, and case law. They are not built around discovery production from a divorce practice. eDiscovery platforms — Everlaw, Relativity, Logikcull — handle the volume but cost like corporate-litigation tools and assume coding panels of attorneys. BatesFlow is the only tool whose document taxonomy and routing logic are defined inside the working matrimonial practice it was built in.
Run the classifier on a real Smith v. Smith case.
The sandbox is preloaded with a synthetic 3,247-document divorce case. No signup. Click in, watch it classify, browse the result.