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Legal professionals routinely work with information spread across dozens, or even hundreds, of documents. Whether conducting due diligence, reviewing evidence, or supporting a regulatory investigation, the challenge is extracting the right information from all relevant documents, comparing it consistently, and turning that information into something useful. As document collections grow, so does the effort required to understand them.
Built into Lexis+® with Protégé™, AI-powered review tables help legal professionals extract and compare information across large document collections, moving from document review to actionable insight more efficiently and with greater confidence.
To create a review table, legal professionals simply select documents from a Protégé Vault and define the information they want legal AI assistant Protégé™ to extract using natural-language prompts. Protégé generates an answer for each document and organizes those answers in a structured table, making it easier to review information across the entire collection.
For example, an attorney reviewing a collection of agreements could create a column asking Protégé to “Extract names of all involved parties and their roles” to display this information from each agreement. Other columns could be added to extract dates, monetary values, yes/no classifications, or verbatim clauses.
Protégé then processes the documents and populates the table, allowing legal professionals to review answers side by side across the document set.
The result is a more structured way to approach large-scale document analysis—without requiring legal professionals to manually build and populate a spreadsheet before they can begin comparing information.
Review tables support the dynamic nature of legal analysis. During the review process, legal professionals can add new columns to the review table as they define additional lines of inquiry. They can also manage the structure of the table by adding, renaming, deleting, and reordering columns, as well as adding manual-input columns for information such as notes. This flexibility helps turn a one-time document review into a dynamic, structured work product that can continue to develop alongside the matter at hand.
With the extracted information organized in one place, legal professionals can search, filter and sort the table to surface patterns, inconsistencies and gaps across the document set—without opening each file individually.
Alongside this collection-level view, review tables provide visibility into the basis for each individual result. Confidence indicators help legal professionals identify answers that may warrant closer attention, while the supporting reasoning and source document are available within each cell. Results can be flagged for later review, and the completed table downloaded to Excel for downstream analysis.
Large-scale document review doesn’t have to mean manually gathering and organizing information from each document. AI-powered review tables in Lexis+ with Protégé do more than accelerate information extraction. By making complex document collections easier to navigate and understand, they help legal professionals bring greater consistency and rigor to analysis at scale—creating a stronger foundation for informed legal judgment.
To learn more about this and other enhancements to Lexis+ with Protégé, visit: lexisnexis.com/ai.