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Technology/Docxedo
Docxedo
Precedent Styling & Formatting

Docxedo

"AI-powered document styling and formatting for legal teams."

Overview

Docxedo is an AI-powered document styling and formatting platform that transforms inconsistent legal documents into professionally formatted precedents in seconds. Purpose-built for law firms and legal teams, it tackles the persistent challenge of document formatting β€” cleaning up styles, fixing numbering, standardising fonts, and ensuring brand consistency across entire document libraries.

The platform works directly with Microsoft Word documents and uses intelligent AI to understand document structure, automatically applying consistent heading hierarchies, paragraph styles, and numbering schemes. Docxedo eliminates the hours typically spent manually reformatting precedents, merging documents from different sources, or cleaning up legacy templates. It’s particularly valuable during firm mergers, rebrandings, or when onboarding new precedent sets where formatting consistency is critical.

How NewLaw Can Help

As certified implementation partners, NewLaw provides end-to-end support for Docxedo β€” from initial assessment and system selection through to deployment, data migration, staff training, and ongoing optimisation. Our team of lawyers, developers, and data specialists ensures your investment delivers maximum return.

Implementation planning
Data migration
Workflow configuration
Document automation
Staff training
Ongoing support

Key Features

  • AI-Powered Style Detection
  • Automatic Numbering & Heading Fix
  • Brand Consistency Enforcement
  • Bulk Document Processing
  • Microsoft Word Integration
  • Precedent Library Cleanup
  • Style Template Management
  • Legacy Document Conversion

Quick Facts

Target Audience
Law firms, legal teams, and knowledge management professionals
Category
Precedent Styling & Formatting

Considering Docxedo for your firm?

We can help you evaluate whether it's the right fit, plan the implementation, and migrate your data β€” all with minimal disruption.