Case Search & Discovery: Enterprise Investigation Retrieval

Overview#

Case Search & Discovery transforms investigation retrieval from fragmented manual lookups into fast, comprehensive full-text searches across large case repositories through advanced indexing, filtering, saved search templates, and relationship mapping. The platform enables investigators to instantly find relevant cases, discover hidden connections, and leverage institutional knowledge through search capabilities specifically designed for complex investigations requiring pattern recognition, precedent analysis, and intelligence sharing.

Key Features#

• Natural Language Search - Investigators type questions or descriptions as they would speak, and the system interprets intent to deliver relevant results without requiring knowledge of query syntax
• Advanced Filtering - Refine search results by date ranges, case types, investigators, jurisdictions, evidence types, custom metadata fields, and other attributes for precise discovery
• Saved Search Templates - Preserve complex queries as one-click templates for recurring search needs, improving efficiency and ensuring consistency for common lookup patterns
• Smart Folders - Automatically populate folders with cases matching dynamic criteria, keeping curated collections current without manual updates as new cases are created
• Relationship Discovery - Map connections between cases based on shared entities, addresses, contact information, financial transactions, and behavioural patterns to reveal hidden links
• Boolean and Field-Specific Queries - Support precise search construction with Boolean operators and targeted field searches for advanced users who need granular control
• Fuzzy Matching - Account for typos, name variations, transliterations, and spelling differences when searching across case records to prevent missed results
• Real-Time Indexing - New cases, notes, and evidence appear in search results within seconds of creation, ensuring investigators always search the most current data
• Search Result Ranking - Results are ranked by relevance using multiple factors including match quality, recency, case importance, and personalisation based on the searcher's role and history
• Cross-Case Pattern Analysis - Identify recurring patterns, common methodologies, and correlated activities across case populations through aggregate search and analysis capabilities

Use Cases#

Precedent Analysis#

Investigators search for similar past cases to identify proven investigation strategies, common patterns, and lessons learned that can inform current investigations. Historical case outcomes provide guidance for approach selection and resource allocation.

Pattern Recognition#

Analysts use relationship mapping and cross-case searches to identify connections between seemingly unrelated cases, uncovering networks, repeat offenders, and coordinated activity that would be invisible when examining cases individually.

Rapid Case Lookup#

Front-line staff quickly retrieve specific cases using natural language, reference numbers, or key identifiers, reducing time spent navigating case hierarchies and file structures to find the right record.

Intelligence Sharing#

Teams share saved searches and smart folders to collectively monitor case populations matching specific criteria, enabling proactive investigation management and early identification of emerging trends.

Deconfliction#

Before initiating new investigations, teams search for existing cases involving the same subjects, locations, or activities to prevent duplicate investigations and identify opportunities for coordination.

Workflows#

Investigative Search#

1. Enter a natural language query, keywords, or structured search criteria in the search interface
2. Review results ranked by relevance with highlighted matches and contextual previews
3. Apply filters to narrow results by date, type, jurisdiction, status, or other attributes
4. Open cases directly from search results to review details and take action
5. Save effective searches as templates for reuse or share with team members

Relationship Exploration#

1. Start from a case, entity, or data point of interest
2. The system identifies related cases and entities based on shared attributes and connections
3. Explore the relationship map to discover linked cases, shared entities, and connecting patterns
4. Drill down into specific connections for detailed context and supporting evidence
5. Save the relationship view for ongoing monitoring or export for further analysis

Smart Folder Management#

1. Define the criteria for a smart folder based on case attributes, date ranges, and other filters
2. The system automatically populates the folder with all matching cases
3. New cases matching the criteria are added automatically as they are created
4. Review the smart folder regularly to monitor the case population and identify changes

Integration#

• Programmable API Access - Execute searches and retrieve results programmatically for integration with external analysis tools, investigation platforms, and custom applications
• Business Intelligence Tools - Feed search results and relationship data into BI platforms for advanced visualisation, cross-system correlation, and trend reporting
• Case Management Systems - Embed search capabilities within broader case management workflows for seamless access to discovery features
• Alert Services - Configure saved searches to generate automatic alerts when new cases matching specified criteria are created or when relationship patterns change

Last Reviewed: 2026-02-05