Also from Splitifi: Criterica · Criterica Intelligence — outcome, settlement & duration prediction for institutional capital

Splitifi
BUILT FOR
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COURTS & RESEARCH

Judicial intelligence, grounded in data.

Splitifi's judicial analytics infrastructure supports court administration, judicial education bodies, and academic institutions with behavioral analytics, performance benchmarking, and structured access to one of the largest labeled legal outcome datasets in existence.

FEDERAL CIRCUITS — INDEXING...
1st
2nd
3rd
4th
5th
6th
7th
8th
9th
10th
11th
DC
STATE COURTS — INDEXING...
WA
OR
CA
AK
MT
ID
NV
AZ
ND
SD
WY
UT
CO
NM
MN
WI
IA
NE
KS
MO
AR
OK
TX
LA
MS
AL
TN
KY
IN
IL
MI
OH
PA
WV
VA
NC
SC
GA
FL
NY
NJ
DE
MD
DC
VT
NH
ME
MA
RI
CT
HI
REAL RECORDS INDEXED ACROSS ALL JURISDICTIONS

THE B2G OPPORTUNITY

When courts use Splitifi, the platform becomes court infrastructure.

Judicial analytics has historically been the province of proprietary research firms with narrow data coverage and opaque methodology. Splitifi operates from a different foundation: verified court records, judge profiles built from actual case outcomes, and a model registry that documents calibration, training provenance, and validation gates for every production model.

Courts and judicial education bodies that partner with Splitifi gain access to behavioral benchmarks that existing court management systems cannot produce. Policy researchers gain outcome data grounded in statistical reality rather than anecdote. The result is a research and administration infrastructure that improves the evidentiary basis for judicial education, court performance evaluation, and policy design.

CAPABILITIES

What we provide.

Judicial Behavioral Analytics

Ruling patterns, grant rates, and procedural tendencies across verified judges. Behavior modeled by motion type, case category, jurisdictional context, and temporal period — enabling education bodies and policy researchers to understand how individual judicial decision-making varies from statistical norms.

Court Performance Benchmarking

Statistical comparison of court outcomes across jurisdictions, circuits, and multi-year time windows. Surface systemic disparities, track outcome trend lines, and identify performance outliers at the circuit, district, or individual court level using a consistent methodology built on real case data.

Academic Research Access

Structured outcome data, model methodology documentation, and calibration reports made available to qualified academic institutions under data access agreements. Supports peer-reviewed publication, graduate research, and judicial education program development.

Policy Research Support

Outcome modeling for proposed changes to custody presumptions, sentencing guidelines, damages caps, and procedural rules. Splitifi models simulate downstream effects of policy changes against real case corpora — providing evidence-based input to legislative and regulatory processes.

RESEARCH METHODOLOGY

How research partnerships work.

Research partnerships begin with a data access agreement that defines scope, permissible use, and publication terms. Splitifi provides methodology documentation for all models referenced in research — including training corpus description, validation gate results, calibration curves, and known limitations.

Academic partners are supported through the publication process, including technical review of methodology sections and co-authorship on papers that rely substantially on Splitifi data infrastructure.

01

Data access agreement executed before any data transfer

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Methodology documentation provided for all models used

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Publication review process for papers citing Splitifi data

PARTNERSHIPS

Partner with the data lab.