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Bundledocs
Bundling & Court Preparation

Bundledocs

"Document bundling at its best."

Overview

Bundledocs is a cloud-based document bundling and preparation platform designed specifically for legal professionals. The software enables users to quickly and easily compile fully formatted, indexed, and paginated briefs, court bundles, deal bibles, and electronic casebooks. Trusted by thousands of legal professionals globally, Bundledocs transforms what was traditionally a time-consuming manual process into a streamlined, automated workflow.

The platform supports a wide range of use cases including court bundle preparation, case bundling, and electronic document assembly. Every bundle created with Bundledocs is automatically bookmarked and hyperlinked for easy navigation, with professional formatting applied consistently. The platform integrates with leading document management systems and practice management software, fitting seamlessly into existing legal workflows. With flexible pricing and no minimum contract periods, Bundledocs provides an accessible entry point for firms of all sizes.

How NewLaw Can Help

As certified implementation partners, NewLaw provides end-to-end support for Bundledocs 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

  • Automatic Indexing & Pagination
  • Court Bundle Preparation
  • Deal Bible Assembly
  • Electronic Casebook Creation
  • Bookmarking & Hyperlinking
  • DMS Integration
  • Bulk Document Upload
  • Cloud-Based Access

Quick Facts

Target Audience
Law firms, barristers, and in-house legal teams
Category
Bundling & Court Preparation

Considering Bundledocs 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.