I sat in your courtroom as a litigant and saw the reality you face. Overloaded dockets. Inconsistent filings. Emergency motions stacked on continuances. Pro se parties who cannot translate instructions into compliant documents. Attorneys who overfile, overbill, and still miss local requirements. The mission of Splitifi is simple: remove noise before it reaches your bench.
We are a data and evidence company. Data over Drama guides every feature. The platform is AI agnostic and closed loop. Algorithms are built and approved by board certified family law attorneys with review by retired judges, and every change is auditable.
Court data lake spanning over 3,500 counties, standardized and refreshed weekly
In this article
Daily courtroom problems
- Filings that fail local rules and trigger resets
- Conflicting narratives on custody, safety, and money without a standardized record
- Evidence scattered across texts, photos, and PDFs with weak provenance
- Discovery abuse that converts time into delay and cost
- Pro se litigants who cannot convert guidance into compliant packets
- No clear metrics on first pass acceptance, rejection causes, or time to disposition
Goal: fewer rejected filings, fewer resets, and cleaner records so minutes in court are spent deciding facts, not curing defects.
What Splitifi changes
Jurisdictional rule engine
Auto validates captions, formats, page limits, service, and notices before the clerk ever sees the packet. Reduces rejection and wasted hearings.
Standardized, explainable records
Evidence is hashed, time stamped, and indexed. Each recommendation links to its sources and rules so chambers can see what the system saw and why.
Judge dashboard
One view of case timelines, pending motions, service status, due orders, and risk flags. Triage quickly and direct the next best procedural step.
Pro se guardrails
Litigant facing checks turn instructions into compliant forms and exhibits. Cleaner packets, fewer in court clarifications, lower clerk burden.
Consistency and metrics
Courtwide analytics on acceptance rates, common rejection reasons, and time to order by motion type and division.
Why the outputs are trusted
- AI agnostic and closed loop. We can run OpenAI, Anthropic, or local models without exposing court data to outside training.
- Algorithms built and approved by board certified family law attorneys with review by retired judges.
- SOC 2 and ISO 27001 practices, role based permissions, field level encryption, and immutable activity logs.
- Data lake of filings, orders, and outcomes across more than 3,500 counties with source of truth metadata.
Target results and pilot plan
- Under 1 percent rejection rate on validated filings
- 20 to 30 percent reduction in time to disposition for standard motions
- 30 percent fewer in court clarifications related to form and service
- Public audit notes for each model iteration and rule update
Pilot: one courtroom or division for four weeks, with success measured by first pass acceptance, minutes saved per motion, and clerk feedback.
Packets arrive standardized and the record is explainable. We spend time deciding facts, not fixing formatting.
Judicial work is about truth, procedure, and limited minutes. Splitifi standardizes entries, enforces local rules, and surfaces facts before a file reaches your bench.
Prefer a walkthrough first? See the tools.