Discover Data for eDiscovery and Investigations

Search, analyze, and produce communications from a single system of record to support litigation, regulatory, and internal investigations.
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What Is Communications Discovery?

Discovery is the process of identifying, searching, analyzing, and producing electronically stored communications for litigation, regulatory, and internal investigations. It enables legal, compliance, and investigation teams to reconstruct conversations, filter relevant data, and manage review and export workflows across email, messaging, files, and voice.

Within the Arctera Unified Platform, discovery maintains metadata, relationships, and audit trails to ensure outputs are complete, traceable, and defensible while operating on a unified data foundation without duplication or reprocessing.

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What Arctera Discover Does

check-circle: Searches communications and data using full-text and metadata filters

check-circle: Applies filters by custodian, date, keyword, classification, and source

check-circle: Reconstructs conversations and relationships across messages, files, and attachments

check-circle: Organizes data into cases with tagging, legal hold, and redaction controls

check-circle: Operates on archived data to preserve chain of custody without data movement or duplication

check-circle: Exports data in standard legal formats with metadata and audit records

A circular radar interface with various communication icons (email, chat, video) being scanned by a green radar beam, with a large orange warning triangle at the top.
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How Discover Works

Discover operates on archived and classified data to support discovery workflows from identification through production. It processes governed data without reprocessing or movement, preserving context and chain of custody.

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Receive Archived and Classified Data

Access communications and data stored in Archive and enriched through Classify. Each record includes participants, timestamps, metadata, and classification attributes required for discovery.

Enable Search and Identification Workflows

Index and expose data for discovery using full-text and metadata-based search. Support queries across custodians, timeframes, sources, and classification attributes.

Apply legal holds and preservation rules to retain relevant data for litigation, investigations, or regulatory review without altering source records.

Apply Filtering and Targeted Collection

Filter and isolate relevant data using keywords, custodians, dates, and classification criteria. Perform targeted collection directly from archived data without duplication.

Organize and Review Data in Cases

Group data into cases for review. Apply tags, redaction, and review decisions. Reconstruct conversations and relationships across communications, files, and attachments.

Export data in standard legal formats with metadata, audit logs, and chain of custody. Maintain traceability between search, review, and production outputs.

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How Archive Works

Business Impact

Reduce eDiscovery Costs and Review Effort

Lower review volume and processing overhead. Reduce eDiscovery spend by up to 70% by limiting the data set that requires review.

Accelerate Search and Investigation Timelines

Search across communications and data in under two seconds. Reduce time required to identify and validate relevant information.

Improve Completeness of Discovery Results

Reduce risk of missing or inconsistent results. Operate on fully indexed data with preserved relationships across communications and files.

Manage discovery from identification through production within a single system. Maintain consistent process and control across cases.

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How Discovery Works Across Data Sources

Arctera Discover performs discovery across communications and enterprise data using a unified data model built on archived and classified records.

Search, filtering, and case workflows operate consistently across email, messaging, files, and voice without requiring source-specific queries or data preparation. Relationships between communications, attachments, and linked content are preserved at ingestion, allowing accurate reconstruction during review. Discovery workflows are executed directly on fully indexed data, supporting consistent results, repeatable searches, and defensible production without relying on separate processing or external systems.

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Frequently Asked Questions

What is discovery in a communications and data governance platform?
Discovery is the process of identifying, searching, analyzing, and producing electronically stored communications and data for legal, regulatory, or investigative purposes. Within a governance platform, discovery operates directly on archived and classified data rather than on exported or duplicated datasets. This approach preserves context, metadata, and relationships between data elements. It also reduces the need for separate processing steps, helping ensure that discovery workflows remain consistent, traceable, and defensible across the lifecycle.
How does Discover differ from standalone eDiscovery tools?
Discover operates on a unified data foundation that includes archived and classified data, eliminating the need to move or reprocess information between systems. Standalone eDiscovery tools typically require data to be collected, processed, and indexed after the fact, which can introduce delays and inconsistencies. By contrast, Discover enables search and analysis on data that is already governed and indexed. This reduces duplication, improves performance, and helps maintain chain of custody throughout the discovery process.
Why can discovery results vary across systems?
Discovery results can vary when systems rely on incomplete indexing, inconsistent data models, or source-specific search limitations. In these environments, some content may be partially indexed, excluded, or returned differently across repeated searches. This can lead to gaps in results and reduce confidence in completeness. Platforms that operate on fully indexed, governed data provide more consistent, repeatable outcomes, helping ensure results are reliable and defensible.
How does Arctera reconstruct conversations across channels?
Arctera reconstructs conversations by preserving relationships between messages, participants, timestamps, and linked or attached content across systems. This includes email threads, messaging platforms, voice transcripts, and associated files. Because data is archived and classified before discovery, these relationships are retained at the time of capture rather than recreated later. This enables accurate reconstruction of conversations and events across channels, supporting more complete and reliable review.
How is AI used to identify relevant information during discovery?
Discover uses AI-driven analysis to prioritize and refine datasets during early case assessment and review. This includes identifying patterns, surfacing relevant content, and reducing noise within large data volumes. AI operates on classified and indexed data, allowing it to incorporate metadata, content, and contextual relationships. These capabilities help teams focus on the most relevant information earlier in the process while maintaining transparency into how results are generated.
Can Discover work alongside Microsoft Purview or Microsoft 365?
Yes. Discover can extend Microsoft 365 and Purview by operating on a broader set of communications and enterprise data, including sources outside the Microsoft ecosystem. It provides consistent indexing, search, and review workflows across data types while preserving relationships and context. This helps address limitations in source-specific discovery tools and enables more complete, defensible discovery across environments.
How does Discover support defensible export and production?
Discover enables export of data in standard legal formats with complete metadata, audit logs, and documented chain of custody. Because data is not moved or reprocessed prior to export, its original context and relationships are preserved. This helps ensure productions are consistent with reviewed content. Auditability across search, review, and export activities supports defensibility in legal and regulatory proceedings.
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Accelerate eDiscovery and Investigations with Complete Data

Learn how to search, reconstruct, and produce communications without reprocessing data across systems.

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