Onna Features

Find important content or files using keywords, metadata, tags, etc.

Has a centralized dashboard for users to interact with

Automatically sends notifications about legal hold status to request recipients

Sends legal hold requests for specific relevant documents

Contains a place to store preserved documents

Contains legal hold request templates

Offers contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata.

Has template rules and pattern matching algorithms (PII, PCI, PHI and more)

Offers the option to create custom templates and rules based on department, user type and data type.

Search multiple file types (images, PDFs, etc.) and repository locations (such as on-premise databases, cloud storage, email servers, websites, etc.)

Facilitates compliance and enables adherence to common industry regulatory standards such as GDPR, CCPA, HIPAA, PCI DSS, ISO, and others.

Offers reporting functionality.

Gives the user targeted, personalized results based on their activity or preferences.

Ability to plug the search capabilities into other applications or tools.

Offers search for a variety of file types.

Ability to search in multiple languages without any additional work required.

Allows the end user to filter and refine search results.

Allows the user to see highlighted results to see which words or phrases match the search query.

Automates the process of preserving electronically stored information (ESI) relevant to anticipated litigation.

Collects documents from various data sources while producing an auditable trail.

Processes documents and extracts relevant information via metadata combing, native application imaging, and domain parsing.

Identifies case-relevant, or responsive, documents, and provides document filtering and tagging.

Tracks and reports on reviewer activity for specific projects.

Produces compliant, litigation-ready documents based on ESI.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Embed generative (RAG) capabilities for enhanced answer generation using retrieved content

Allow tuning relevance and ranking through machine-learning or Learning-to-Rank models

Enable the system to understand and interpret natural-language queries

Offers search for a variety of file types.

Ability to search across different data sources, such as databases, intranets, and applications.

Ability to search in multiple languages without any additional work required.

Gives the user targeted, personalized results based on their activity or preferences.

Allows the user to understand how other users are using the search functionality through dashboards, KPIs, etc.

Ability to plug the search capabilities into other applications or tools.

Allows the user to see highlighted results to see which words or phrases match the search query.

Allows the end user to filter and refine search results.

Ability of search to handle typos.

Ability to define synonyms for search terms.