Timeline Reconstruction and Event Intelligence

Overview#

A homicide detective reviewing a complex case has call detail records, three sets of GPS data, ATM transactions, and witness statements that each describe the same two-hour window differently. Reconciling those sources manually takes days and still produces a timeline the defence can challenge on the grounds of analyst subjectivity. The Timeline Reconstruction module does that work automatically: it extracts timestamps from every source type, flags conflicts with explicit confidence scoring, identifies which contradictions are physically impossible, and produces a court-ready chronological narrative with full evidence citations.

By automating the collection, normalisation, and correlation of events across disparate sources, the platform transforms fragmented activity records into coherent investigative timelines. Every event links back to its source, every conflict is documented, and every gap is flagged with an assessment of its investigative significance.

Key Features#

Automated Timeline Generation: Extracts events from 50+ evidence types automatically including call detail records, GPS data, financial transactions, surveillance footage, and communications metadata. No manual data entry required.
Multi-Source Event Fusion: Merges timelines from multiple evidence sources with AI-powered conflict resolution and confidence scoring when timestamps from different sources contradict each other.
AI-Powered Event Extraction: Natural language processing extracts dates, times, and events from unstructured text such as witness statements, reports, and case notes.
Temporal Conflict Detection: Identifies impossible simultaneity, alibi conflicts, physical impossibility, and device synchronisation issues across evidence sources with clear flagging for investigator review.
Pattern Detection: Discovers recurring temporal patterns including sequential event chains, modus operandi signatures, ritual pre- and post-crime behaviours, and supply chain delivery schedules.
Gap Analysis: Automatically identifies periods with missing evidence such as alibi verification gaps, communication blackouts, financial record gaps, and location tracking discontinuities, with assessment of investigative significance.
Interactive Timeline Visualisation: Zoom from years to milliseconds across timelines containing thousands of events, with bookmarking, time range selection, and filtering by source or entity.
Legal Impact Assessment: Evaluates how timeline gaps and conflicts affect prosecution strength, identifies weaknesses that defence may exploit, and flags areas where additional evidence collection is needed.
Court-Ready Export: Generates professionally formatted timeline reports with evidence citations, exhibit labels, chain of custody documentation, and analyst certification for legal proceedings.

Use Cases#

Reconstructing complex criminal event sequences by automatically ingesting and correlating evidence from multiple sources to reveal the precise chronology of activities, movements, and communications.
Identifying investigative leads through gap analysis that highlights missing evidence periods, unverified alibis, and unexplained communication blackouts requiring follow-up.
Detecting criminal patterns across cases by discovering recurring temporal sequences, operational signatures, and behavioural routines that indicate organised or serial criminal activity.
Preparing court presentations with annotated timelines that link every event to its source evidence, provide confidence assessments for conflicting information, and meet evidentiary standards.

Integration#

Connects with case management, evidence management, and investigation tools to ingest evidence data and export timeline analysis results. Court-ready reports support formal legal formatting with proper evidence citations and chain of custody documentation. All timeline data and audit records are stored in the PostgreSQL primary data store with organisation-level isolation.

Open Standards#

ISO 8601 / RFC 3339: All event timestamps are stored, exchanged, and extracted in UTC-based ISO 8601 format; the timeline model explicitly defaults to ISO time display and uses Python's fromisoformat/isoformat throughout ingestion and export pipelines.
ISO 19005 (PDF/A-1 through PDF/A-4): Court-ready timeline exports are produced as PDF/A archival documents conforming to ISO 19005-1:2005 through ISO 19005-4:2020, with embedded XMP metadata, sRGB ICC colour profiles, and attached JSON evidence metadata.
Plaso / log2timeline L2T event format: The platform integrates with the Plaso open-source digital-forensics framework via a dedicated domain and REST client, ingesting artefact timelines in the log2timeline event format for multi-source fusion with other evidence streams.
NIEM 6.0 (National Information Exchange Model): Case and incident data can be exported as NIEM 6.0 JSON documents using the NIEM Core (nc:), Justice (j:) and Emergency Management (em:) domain namespaces, enabling structured exchange with law-enforcement and justice systems.
US Federal Rules of Evidence Rule 901 (FRE 901): The court export engine names FRE 901 authentication compliance as a required standard; chain-of-custody records, Bates numbering, and analyst certification are generated specifically to satisfy FRE 901 admissibility requirements.
CJIS Security Policy 5.9: Criminal-justice information handled within timeline exports is governed by the FBI CJIS Security Policy 5.9 compliance standard, which is listed explicitly in the export metadata alongside PDF/A and FRE controls.
GraphQL (June 2018 specification): The entire timeline API surface, queries, mutations, and subscriptions for events, tracks, layers, bookmarks, and exports, is exposed through a Strawberry GraphQL schema conforming to the June 2018 GraphQL specification.
JWT / OAuth 2.0 (RFC 7519 / RFC 6749): Every timeline resolver and mutation enforces bearer-token authentication via RS256-signed JWTs validated against a JWKS endpoint, implementing the OAuth 2.0 bearer-token framework for access control.

Last Reviewed: 2026-02-04 Last Updated: 2026-04-14