Thomson Reuters Document Intelligence Features

Ability to auto-extract all key contract metadata and clause language.

Provides document parsing, redlining, and auto-tagging for clause comparisons.

Ability to analyze text within contracts by using pattern recognition.

Provides the ability to understand and process human language/s within contracts.

Provides OCR capabilities to convert images into digital text (i.e PDFs, TIFFS, etc.).

Ability to import contracts into a centralized repository.

Provides the ability to export contract data into other systems.

Ability to create reports and dashboards with contract data to provide strategic insights.

Identifies and classifies paragraphs through AI-driven clause template matching and learning algorithms.

Condenses long documents or text into a brief summary.

Facilitates document modification with comprehensive change logging

Offers a unified system storing all legal data for easy management and retrieval

Controls access and sharing based on user permissions

Securely archives legal documents in an organized, digital repository

Quick, efficient document location using advanced search mechanisms based on keyword tracking, document naming, and relevance

Ensures consistent, up-to-date information across all devices

Manages multiple document iterations, ensuring accuracy and up-to-dateness

Streamlines the process of examining legal documents for accuracy and identifies errors, compares content and gives suggestions

Applies legal intelligence to analyze documents, generate insights, identy potential risks, opportunities and solutions. Some tools also provide reporting features

Leverages artificial intelligence for task automation, streamlining workflow and decision support

Enables document access from any device, from anywhere, thereby enhancing flexibility

Works across multiple software systems or databases

Engages in human-like conversation for task delegation