Your team has two hundred agreements, and you need the change-of-control triggers, the assignment restrictions, the governing law – across every agreement, by end of week. NetDocuments tabular review pulls every answer into a structured table in minutes, right where the documents already live.

Ask any legal team that has to compare a set of documents – contracts, claims, filings, whatever the stack is – and the process has looked the same for years. Open a document. Find the term. Copy it into a spreadsheet. Open the next document. Repeat.

For a handful of documents, that’s a manageable afternoon. For a hundred or a thousand, it becomes a project that can eat days, and almost none of that time goes toward the judgment the legal team is trained for. The extraction itself, the part that should be the easiest step, ends up consuming the most hours.

NetDocuments tabular review was built because the gap between the work legal teams want to spend their time on and the work they’re stuck doing instead continues to get wider as document volumes grow. We’re excited to bring another AI capability to where legal professionals already work.

Where NetDocuments tabular review helps

NetDocuments tabular review is built for any scenario where teams need to extract, compare, or analyze the same information across large document collections. That shows up constantly, wherever organizations manage high volumes of documents:

• Comparing market or deal terms across a batch of agreements – change-of-control triggers, assignment restrictions, and governing law, pulled from every contract in the collection
• Running due diligence across hundreds of target-company contracts – extracting key obligations, renewal dates, and risk flags in hours instead of days
• Abstracting a portfolio of leases – effective dates, renewal options, termination notice periods, and rent escalation clauses in a single pass
• Benchmarking license agreements – royalty structures, exclusivity terms, and IP assignment provisions side by side
• Reviewing documents produced in litigation – building fact chronologies, identifying parties, and extracting key dates across a production set
• Pulling terms from HR agreements and policy acknowledgments at scale

Wherever work used to require the manual review of documents one by one, NetDocuments tabular review transforms that effort into a structured, searchable table – freeing your team to spend less time extracting information and more time applying the judgment, expertise, and strategic thinking that matter most.

How NetDocuments tabular review works differently

NetDocuments tabular review takes a different approach: it runs AI-powered review inside the system that already governs your documents, instead of exporting them somewhere else to get an answer. NetDocuments customers already trust the platform to govern their organization’s most sensitive documents; bringing AI to your content, rather than asking teams to move sensitive documents into a new, separate tool to get the benefit of AI-powered analysis.

That difference shows up in a few concrete ways. Documents never leave NetDocuments during review, so there’s no separate tool and no new place for sensitive content to end up outside the environment where it is already governed. Every answer in the resulting table is linked directly back to the exact spot in the source document from which it was extracted, so your team can verify each result as easily as opening the file itself, without switching tools to double check the AI’s work. And because the review runs inside NetDocuments, the same data loss prevention, access permissions, and information barriers your organization already relies on are enforced automatically, every time, without anyone having to configure them separately for AI.

The result is AI-powered document analysis that fits naturally into existing workflows, without requiring teams to adopt a new platform, move sensitive documents, or compromise on governance.

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