NetDocuments Launched AI-Powered Tabular Review
The software enables automated data extraction into structured tables for legal matters.
Updated on Sept. 22, 2026 in Artificial Intelligence
In August 2026, NetDocuments launched its new Tabular Review capability to help users organize legal documentation. The software processes selected documents within a matter to generate structured tables based on user-defined or AI-suggested categories.
Why it matters
The tool streamlines document management by automating the extraction of key information into a consolidated format. This shift aims to reduce the time spent manually reviewing document sets by shifting to structured, table-based analysis.
The system utilizes AI to parse selected documents and organize them into user-defined or suggested columns. This allows for rapid comparative analysis of specific data points across an entire matter's document set.
The players
NetDocuments
A developer of cloud-based document and email management software for legal professionals.
Brandall Nelson
A representative who demonstrated the functionality of the software.
The details
To utilize the tool, users select a collection of documents within a NetDocuments matter. The software then generates a table, allowing for custom column definitions or AI-proposed categories based on the content of the files. This process automates the extraction and categorization of data that would otherwise require manual synthesis.
Timeline
August 2026: NetDocuments launched the Tabular Review capability.
The Tech Race
This release follows a broader industry push to integrate structured data analysis into legal document management platforms. It mirrors the transition from traditional search-based discovery toward automated synthesis of document content.
Legal professionals using NetDocuments can now utilize the feature to convert document clusters into structured tables. Users should note that custom criteria can be programmed into the system to align with specific case workflows.
The takeaway
The move signals a transition toward AI-native document synthesis in legal practice. Legal teams should evaluate whether their existing matter workflows can be converted into tabular schemas to leverage this automation.
Further reading
For broader trends in legal tech, see the latest developments in Artificial Intelligence.
Source note: This article includes information reported by Legal IT Insider.
