What Are AI-Callable Tools and Why Do They Matter for Legal AI?

Most legal AI products work like a chatbot. You paste in a contract, ask a question, and get text back. Maybe the text is helpful. Maybe it even includes a suggested redline. But the output is always text. It never touches your document.

Reddox works differently. Instead of generating text for you to copy and paste, it calls tools that directly manipulate your Word document. It inserts tracked changes. It adds comments. It edits table cells. It formats text, inserts footnotes, creates bookmarks, and generates templates. All of this happens through the Word API, not through a chat window.

This is the difference between an AI that talks about your document and an AI that works on your document. See the full toolkit on the product page.

How Function Calling Works

Under the hood, Reddox uses OpenAI's function calling capability. When you ask Reddox to review a contract, the AI does not just generate prose. It generates structured function calls that specify exactly which tool to use and what arguments to pass.

For example, when the AI decides a clause needs to be rewritten, it does not say "consider replacing the indemnification clause with mutual language." Instead, it calls the apply_redline tool with the specific text to find, the specific replacement text, and a confidence rating. The tool then executes that edit as a native Word tracked change. You can define what the AI looks for using custom playbooks.

This is a fundamental architectural difference. The AI is not advising you. It is acting on your behalf, using the same document tools you would use yourself.

The 29 Tools

Reddox gives the AI access to 29 tools organized across 10 plugin groups. Here is what they cover.

Editing tools handle tracked changes. The AI can insert, delete, or replace text with full tracked change markup. The word-level diff engine ensures edits are surgical.

Formatting tools control font styling, paragraph alignment, spacing, and styles. If the AI needs to bold a defined term or change a heading style, it calls the appropriate formatting tool.

Annotation tools insert comments and footnotes. Comments include the AI's rationale for a suggested change. Footnotes can add explanatory text or cross-references.

Structure tools work with bookmarks, content controls, and document navigation. The AI can bookmark a clause for reference, insert fillable content controls for template generation, or navigate to a specific section.

Table tools let the AI read and edit individual table cells. This matters for contracts with payment schedules, fee tables, or structured data.

Document tools handle broader operations like reading the full document text, detecting document type, and generating templates from existing documents.

List, hyperlink, field, and search tools round out the toolkit with capabilities for creating structured lists, inserting links, working with Word fields, and performing wildcard searches.

Why More Tools Means Better Results

A chatbot with no tools can only do one thing: generate text. That means every interaction ends with you doing manual work to apply whatever the AI suggested.

An AI with a few tools can do a few things well but hits walls quickly. If it can apply tracked changes but cannot insert comments, it cannot explain its reasoning inline. If it can edit text but cannot touch tables, it skips payment schedules entirely.

An AI with 29 tools across 10 plugin groups can handle nearly any task a lawyer would perform in Word. The breadth of the toolkit is what allows Reddox to do multi-step operations. Read the document, identify an issue in a table, edit the relevant cell, add a comment explaining the change, and format the result. All in one pass.

Multi-Turn Tool Loops

Some tasks require multiple steps. The AI reads the document and identifies that a defined term is used inconsistently. But to fix it, it needs to find every instance, check the context around each one, and make targeted edits in different sections.

Reddox handles this through multi-turn tool loops. The AI calls a read tool, processes the result, decides what to do next, calls an edit tool, reads again to verify the change, and continues until the task is complete. This read-think-act cycle is what allows Reddox to handle complex, document-wide operations that a single-shot AI cannot.

What This Means for Your Practice

The practical impact is straightforward. You give Reddox an instruction. It executes the instruction directly in your document. You review the result using the same accept/reject workflow you already know.

No copying. No pasting. No reformatting. No switching between a chat window and your document. The AI works inside Word because that is where lawyers work. Sign up for free and try it on your next contract.