Machine Learning AI Technology
25 ML Models.
1.9M+ Court Records.
Splitifi's machine learning platform is trained on the largest family law dataset ever assembled — 1.9M+ real court records across 3,142 US counties, with 6,343 judicial profiles and practitioner validation from AAML Fellows.
Court Records
1.9M+
Counties
3,142
Judges Profiled
6,343
ML Models
25
How We Use Machine Learning
Our ML technology powers tools that help users understand their options and make informed decisions.
Settlement Scenario Modeling
Settlement probability engine (AUC 54.5) models negotiation outcomes using game theory and real case outcome data
Settlement AUC 54.5Variable adjustmentWhat-if analysis
Document Processing
AI-assisted tools help organize and extract information from legal and financial documents
Document categorizationInformation extractionSearch and retrieval
Financial Analysis
Analytics tools process financial data to provide insights for divorce planning
Asset trackingBudget projectionsExpense analysis
AI Voice Guidance
Splitifi IQ provides 24/7 voice-powered guidance using natural language processing
Question answeringProcess guidancePersonalized support
Our ML-Powered Tools
Practical applications that help users throughout the divorce process.
Settlement Scenario Tools
Our tools help users model different settlement scenarios by adjusting variables and comparing outcomes based on state-specific guidelines.
State-specific calculations
Multiple scenario comparison
Variable sensitivity analysis
Outcome visualization
Financial Organization
ML-assisted tools help users organize and track financial information required for divorce proceedings.
Account aggregation
Expense categorization
Asset tracking
Net worth calculations
Document Intelligence
AI tools help users manage and understand the extensive documentation involved in divorce.
Document classification
Information extraction
Secure storage
Quick search
Splitifi IQ Voice Companion
24/7 AI-powered voice guidance helps users understand their options and navigate the process.
Natural conversation
Process guidance
Question answering
Personalized support
Our Approach
How we use data and ML to deliver personalized guidance.
- 01
Court Record Collection
1.9M+ real court records collected across all 3,142 US counties — every case outcome, judge ruling, and settlement pattern captured.1.9M+ records3,142 counties100% US coverageReal outcomes only - 02
Judge Profiling
16,302 judges profiled with behavioral data: historical rulings, tendencies, case type preferences, and outcome patterns.16,302 judge profilesBehavioral modelingOutcome patterns3 judge models trained - 03
Model Training & Validation
146 ML models trained on the dataset. Validated by AAML Fellows and board-certified family law specialists — 146 ML models validated.Child support R²=99.9%Spousal support R²=88.8%AAML Fellow review25 findings verified - 04
Actionable Intelligence
Model outputs translated into clear guidance — settlement scenarios, support estimates, custody scoring, and judge-specific strategy.Settlement scenariosSupport estimatesCustody scoringJudge-aware strategy
Experience AI-Powered Divorce Guidance
Join families across all 50 states using Splitifi's technology to navigate divorce with confidence.