Your opposing counsel already knows which jurors sink your case — now you do too
JuryDrift cross-references decades of public jury composition records against verdict outcomes by case type, jurisdiction, and demographic cluster to surface statistically lethal juror profiles for your specific litigation strategy. It ingests voir dire transcripts and flags drift patterns in real time, firing alerts before you've burned a peremptory challenge on a gut feeling. Litigation teams still running on instinct are leaving wins on the floor.
- Cross-references historical jury composition records against verdict outcomes by case type and jurisdiction
- Scores juror risk across 47 distinct behavioral and demographic signal clusters
- Drift detection engine fires alerts when a pool statistically deviates from baseline norms for your case category
- Native voir dire transcript ingestion via PDF, plain text, or direct court reporter API feed
- Peremptory challenge optimizer. Tells you exactly when to hold.
CourtLink Pro, PACER, LexisNexis, Westlaw Edge, TrialDirector, JurorIQ, CaseFleet, VerdictBase, Relativity, Opus Jury Analytics, Bloomberg Law, SurveyMonkey Audience
JuryDrift runs as a suite of decoupled microservices orchestrated via a custom event bus — ingestion, scoring, drift detection, and alerting are fully isolated and independently deployable. Verdict and composition records are stored in MongoDB for high-throughput transactional writes during bulk historical ingestion jobs. The drift detection layer keeps its rolling baseline windows in Redis, which handles the long-term statistical state between sessions cleanly. Everything talks JSON over internal HTTP; the client-facing API is REST with webhook support for alert delivery.
🟢 Production. Actively maintained.
Proprietary. All rights reserved.