Discernis Investigations is an AI-powered investigation platform for internal inquiries, compliance reviews, and other sensitive matters requiring a high degree of data control. The platform is designed to build a complete, evidence-based picture of a matter rather than simply identifying responsive documents.

Key Features & Functions:

Topic Identification
The platform reads every document within a matter with attention to identified topics, enriching its knowledge of the document set and surfacing related information for further assessment.

Party Analysis
The platform reviews information related to parties it identifies as most relevant to a matter and surfaces connections between them, including relationships that may not be apparent from an initial review of the data and communications.

Timeline Reconstruction
Disparate documents are organized into a comprehensive, chronological timeline, with key activities identified in relation to the topics or issues under review.

Entity Relationship Mapping
The platform develops structured associations among documents, organizations, and parties.

Communication Analysis
Information exchanged across varying messaging platforms is studied to evaluate and interpret communications within a matter.

Anomaly Detection
The platform identifies data points, events, or observations that deviate from normal or expected behavior, also referred to as outlier analysis.

Adaptation
Analyses can be reviewed and re-run with updated parameters to explore new or unexpected lines of inquiry as a matter develops.

Example Applications
The platform is applied to matters such as assessing staff activity and disengagement following layoffs, HR investigations into discrimination or EEO compliance, review of workplace policy violations or inappropriate conduct, assessment of corporate accident or third-party damage exposure, manufacturing or product quality issues, determination of appropriate legal resourcing, and development of case position strategy.