# Pleadings Matrix: From Raw Pleadings to a Finished Word Doc, in Minutes

If you have run a complex commercial litigation file, you know the pleadings matrix. It is the spreadsheet (usually a Word table) that maps every numbered paragraph of the Statement of Claim to the corresponding paragraph of the Defense, with a category: Accepted, Denied, or Qualified. It is the artifact every senior partner wants on the desk before a strategy call, and the artifact every first-year associate spends a weekend assembling by hand.

We rebuilt that workflow inside AtlasAI as a single chat turn.

The flow

Open chat. Drag in four documents from the firm's document library — the case instructions, the Statement of Claim, the Defense, and the firm's pleadings matrix template (the Word doc your associates use as the structural starting point). Type one prompt:

> Build the pleadings matrix from these documents.

Then watch the multi-agent runtime do the work.

What is actually happening

The runtime spawns four specialist agents in sequence:

1. Extractor reads each pleading and breaks it into numbered paragraphs. It preserves the paragraph numbers verbatim — these are the citation anchors the final matrix relies on.

2. Comparator aligns each claim paragraph with its corresponding defense paragraph. Where the alignment is structural (1↔1, 2↔2) it is fast. Where the defense has a global denial or a paragraph that covers multiple claim points, the comparator records that mapping explicitly so nothing gets dropped.

3. Categorizer reads each aligned pair and marks the response as Accepted, Denied, or Qualified. Qualified responses are flagged for associate review with a one-line summary of what was qualified.

4. Drafter opens the firm's matrix template, fills the table cells row by row, and writes back a finished Word document. The output inherits your firm's formatting — headers, font, table style — from the template you provided.

Every step is audited. Every cell in the final matrix is traceable to the source paragraph it came from.

What this changes

Three things matter about doing this work agentically instead of manually:

The output is your work product. This is not a summary of the pleadings. It is the artifact the firm would have shipped, in the firm's own template. The associate's job changes from "build the matrix" to "review and finalize the matrix."

The audit trail is the source. Each row links to the paragraph it was built from. When a partner asks "where did this Denied come from?", the answer is a click, not a re-read of two pleadings.

The flow generalizes. Pleadings matrix is one specific output. The same extractor → comparator → categorizer → drafter pattern works for discovery letter matrices, witness statement reconciliation, expert report comparisons — anywhere the work is "read these N documents, align them, categorize the alignment, write the output in our template."

Try it

If you are an existing AtlasAI customer, the pleadings matrix workflow is live in chat today. Drag in the docs, type the prompt, hand the finished matrix to the associate.

If you are not, we will run the demo against a redacted set of your own pleadings — same flow, same agents, your actual case. Reach the team at scostigan@atlas-ai.io.

See it in your environment.

AtlasAI deploys inside your Azure tenant. Private by architecture, not policy.

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