CrebralCrebralLEGAL
THE LAW FIRM OS

Legal research you can cite in court.

Multi-agent consensus verification. Every citation deterministically verified against our own index of 16.3 million reporter citations — a lookup you can audit, not another AI's opinion. Every holding independently cross-examined.

Start researchingHow it works
16.3M
CITATIONS INDEXED
125K+
REAL COURT CASES
6
AI PROVIDERS
100%
CITATIONS VERIFIED

THE TRUTH ABOUT LEGAL AI

Single-model legal AI hallucinates up to 33% of the time.

Stanford RegLab (Magesh et al., 2025) tested every major legal AI product. Westlaw's AI-Assisted Research hallucinated 33% of citations. Lexis+ AI: 17%. These are not fringe products—they serve the majority of practicing US attorneys.

And courts have stopped warning. Over 1,100 hallucination incidents are now documented in US courts, sanctions have reached $110,000 in a single case, and judges are removing counsel from matters over fabricated authority. The industry's own verdict, per Thomson Reuters' 2026 survey of 1,800 professionals: the gap is no longer adoption — it's accountability.

THE ROOT CAUSE: Single-model RAG places the burden of truth on one system. One model retrieves. One model generates. One model hallucinates. The errors are systematic, not random.
Westlaw AI Research
33%
Lexis+ AI
17%
Crebral Legal (Multi-Agent)
<6%
HALLUCINATION RATE · STANFORD 2025
Fabricated citationsWrong holdingsJurisdictional confusionTemporal errorsSycophantic agreement← THE 5 CATEGORIES OF ERROR

The Architecture Standard

Comparing Crebral against incumbent legal tech platforms reveals structural advantages that single-model platforms cannot match.

CAPABILITY CORE
CREBRAL LEGAL
WESTLAW COCOUNSEL
LEXIS+ AI
HARVEY
Multi-model consensus
6 providers
Single model
Single model
Single model
Citation verification
Deterministic DB
Proprietary
Proprietary
None
Holding cross-check
2 independent LLMs
None
None
None
Adversarial review
Automated
None
None
None
Audit trail
Full transparency
Black box
Black box
Black box
Data source
Open (CourtListener)
Proprietary lock-in
Proprietary lock-in
N/A
Hallucination rate
<6% (POC)
~33% (Stanford)
~17% (Stanford)
Unknown

The 7-Stage Pipeline

DETERMINISTIC VERIFICATION ARCHITECTURE

Every query passes through seven independent verification stages. No stage trusts the previous one's output. This is the only way to eliminate hallucination.

01
CASE SEARCH
10M+ opinions across 471 jurisdictions.
02
INDEPENDENT RESEARCH
6 providers in parallel, blind to each other.
03
CITATION VERIFICATION
Deterministic lookup, not AI opinion.
04
HOLDING CROSS-CHECK
Two independent LLM families compare the holding.
05
GOOD LAW ANALYSIS
Graph traversal flags overruled authority.
06
CONSENSUS
2+ agents in agreement = classified as agreed.
07
ADVERSARIAL REVIEW
What would opposing counsel cite?
THE ENGINE OF CONSENSUS →ANTHROPIC · CLAUDEOPENAI · GPTGOOGLE · GEMINIXAI · GROKDEEPSEEKINCEPTION · MERCURY

When 4+ agents from different LLM families agree on a legal conclusion, the possibility of correlated hallucination plummets. Independent analysis creates unshakeable confidence.

INTELLIGENCE, WITH RECEIPTS

Generic AI knows the law. Ours knows your judge.

We ingested more than 125,000 real court cases and 5 million docket entries from primary Clerk-of-Court records. That corpus can't be prompted into existence — and every figure below links back to the dockets it came from.

Crebral Legal judge scorecard: median time to disposition, disposition rate, motion grant rate, dismissal rate, and outcome and case-nature breakdowns from analyzed cases.

Judge scorecards from real outcomes

Time to disposition, motion grant rates, dismissal rates, and full outcome and case-nature breakdowns — computed over tens of thousands of a judge's actual cases. Not a model's impression of a courtroom. Arithmetic over the record.

122 JUDGE SCORECARDS5M+ DOCKET ENTRIES125K+ CASES
Crebral Legal opposing-counsel profile: cases on file, indicative win rate, outcome mix, case types, and breakdowns by judge and county.

Know opposing counsel before the first hearing

Over 23,000 attorney profiles built from appearance records: caseloads, indicative win rates, case types, and how their outcomes break down by judge and county. Walk in knowing whether they file two of these a year or two hundred.

23K+ ATTORNEY PROFILES145K+ CASE-COUNSEL LINKS5 FL COUNTIES

Built for precision drafting

PLATFORM UTILITIES
HIGH VOLUME
Motion for Summary Judgment
The most research-intensive pleading in litigation. Verified citations with consensus scoring in 60 seconds.
CORE USE
Motion to Dismiss
Challenge the legal basis with cross-verified authority from multiple AI providers.
DISCOVERY
Motion to Compel
Back your discovery arguments with binding precedent, automatically shepardized.
TRIAL PREP
Motion in Limine
Exclude evidence with properly verified case law and good-law analysis.
ALSO ASSISTING: ANSWER & AFFIRMATIVE DEFENSES · LEGAL MEMORANDA & RESEARCH MEMOS · APPELLATE BRIEFS · OPPOSITION PAPERS
Row Level Security
Every query is DB-scoped to your organization. Complete infrastructure isolation.
End-to-End Encryption
Encrypted in transit and at rest. Your work product is yours alone.
Immutable Audit Trail
Every citation checked, every holding verified is logged. Complete compliance trail.
ABSOLUTE DATA SANCTITY — SOC 2 COMPLIANT · DATA NEVER USED FOR MODEL TRAINING

Start researching with confidence.

3 free queries. No credit card required. Experience the power of the complete 7-stage verification pipeline today.