Overview#
When a high-stakes intelligence decision requires more than one model's opinion, the Partner Orchestrator coordinates multiple AI providers simultaneously, scores their consensus, and flags any outliers. It also runs adversarial validation on evidence data before court submission, ensuring that nothing tampered or unreliable reaches legal proceedings. Every operation is tracked with full provenance.
Key Features#
- Multi-model orchestration across multiple AI providers with automatic routing by task type
- Cost, quality, and speed optimisation with configurable fallback chains
- Provenance tracking with content verification and immutable operation audit trails
- Ensemble reasoning that runs queries across multiple models with consensus scoring
- Adversarial validation for data tampering detection and source reliability scoring
- Real-time intelligence streaming via subscriptions with filtering by severity and confidence
- Investigative operations including AI-powered query optimisation and path analysis
- Entity alias resolution with identity clustering and lineage tracking
- Citation tracking for legal proceedings with source attribution
- Legal compliance validation with jurisdiction-specific checks and review flagging
Use Cases#
Relevant sectors include intelligence agencies, law enforcement, and financial crime investigation.
- Coordinating multi-model AI analysis for critical intelligence decisions requiring cross-model validation
- Running adversarial checks on evidence data to detect manipulation before court submission
- Streaming real-time intelligence updates to analyst dashboards filtered by severity and confidence
- Optimising investigative queries and generating entity relationship hypotheses across large datasets
Integration#
The Partner Orchestrator integrates with AI partner configurations, evidence chain of custody, legal brief generation, case management, and security event correlation systems. It supports real-time subscriptions for intelligence updates and task status changes.
Open Standards#
- GraphQL (June 2018 specification): the entire API surface, including queries, mutations, and real-time intelligence subscriptions, is implemented as a typed GraphQL schema using Strawberry, exposing partner task orchestration operations to consuming clients.
- OAuth 2.0 (RFC 6749): access to partner tasks and real-time subscriptions is gated by named OAuth 2.0 scope strings (read, write, realtime subscribe), enforced on every resolver and subscription handler.
- JSON Web Token / RS256 (RFC 7519 / RFC 7518): all callers authenticate with RS256-signed JWTs verified against a JWKS endpoint; the core security layer rejects any token that does not carry a valid RS256 signature.
- SHA-256 (FIPS 180-4): every provenance entry and uploaded file is fingerprinted with SHA-256; the provenance chain links entries via previous-hash pointers, enabling tamper detection before court submission.
- WebSocket (RFC 6455): real-time intelligence streaming subscriptions are transported over persistent WebSocket connections, underpinning the live event feed delivered to analyst dashboards.
- MIME types (RFC 2046): file uploads are validated by requiring both the file extension and the HTTP Content-Type header to agree on an allowed MIME type, preventing content-type bypass attacks.
- JSON (RFC 8259): all task input data, model results, citations, evidence references, and provenance records are serialised as JSON, forming the common interchange format across every partner integration.
Last Reviewed: 2026-02-05 Last Updated: 2026-04-14