Investigation Search and Discovery

Overview#

The Investigation Search and Discovery module provides advanced search capabilities purpose-built for compliance analysts, fraud investigators, and financial intelligence units. The system combines full-text search, faceted filtering, and machine learning-powered discovery tools to surface relevant investigations, entities, and evidence across large-scale datasets with sub-second response times.

Key Features#

• Full-Text Search -- All investigation content, evidence, notes, and OCR text are indexed and searchable with support for exact phrases, Boolean operators, and field-specific queries.
• Semantic Search -- Natural language query interpretation understands investigator intent beyond keyword matching, with synonym expansion, entity recognition, and intent detection for more relevant results.
• Faceted Filtering -- Multi-dimensional filtering across status, priority, risk score, severity, date ranges, entity types, jurisdictions, industries, transaction counts, amounts, and currencies enables precise result narrowing.
• Saved Searches and Templates -- Investigators save frequently used search configurations and access pre-built search templates for common workflows such as high-risk cases, unassigned priorities, and aged cases.
• ML-Powered Discovery -- Machine learning algorithms identify related investigations through content-based similarity matching, shared entity overlap, matching typologies, and network analysis connections.
• Recommendation Engine -- Multiple recommendation models including content-based similarity, collaborative filtering, graph-based recommendations, and behavioral analysis surface the most relevant related investigations with confidence scores.
• Fuzzy and Phonetic Search -- Typo-tolerant matching, phonetic name search, stemming, and alternative spelling support ensure investigators find results despite data entry variations.
• Advanced Pagination -- Standard pagination, cursor-based navigation for deep result sets, and infinite scroll with virtual rendering support efficient navigation through large result sets.
• Search Analytics -- Usage tracking and quality metrics provide insights into search patterns, engagement, and result relevance to continuously improve search effectiveness.

Use Cases#

• Investigation Research -- Analysts rapidly locate relevant investigations, entities, and evidence across millions of records using keyword, semantic, and faceted search capabilities.
• Related Case Discovery -- ML-powered discovery tools automatically identify investigations with similar content, shared subjects, matching typologies, or network connections to the current case.
• Recurring Workflow Optimization -- Saved search templates eliminate repetitive query construction for daily tasks such as reviewing open cases, monitoring high-risk investigations, and tracking approaching SLA deadlines.
• Cross-Investigation Pattern Detection -- Discovery algorithms reveal hidden connections between separate investigations by identifying common entities, shared media coverage, and overlapping transaction patterns.
• Evidence Location -- Full-text search across evidence repositories, OCR text, and investigation notes enables rapid location of specific documents, transactions, or communications.
• Resource Prioritization -- Faceted search by risk score, priority, and case age helps supervisors identify cases requiring immediate attention and allocate resources effectively.

Integration#

The Investigation Search and Discovery module integrates with the platform's case management, entity resolution, evidence management, and transaction monitoring systems. Indexed data spans investigations, entities, transactions, documents, and OCR text repositories. Search results include relevance scoring, highlighted matches, and faceted aggregations, while discovery recommendations feed into cross-case linking workflows and investigation prioritization dashboards.

Last Reviewed: 2026-02-23