The Judge Group, a global services firm supporting about half of the Fortune 500, has achieved an 80% increase in operational speed as a result of adopting Box Extract and Box AI Studio. The groundbreaking AI-driven workflows the Judge Group has custom-built with Box will transform how the company handles critical business documents — already reducing contract review times from six hours to one.
The company, operating across 26 offices nationwide, represents a growing wave of enterprises discovering that AI’s true power lies not in the models themselves, but in having well-structured, accessible data to feed them. Custom AI agents are the key to putting AI to enterprise use.
Key wins for the Judge Group from Box:
- 90%+ faster contract reviews, from six hours to 60 minutes
- Compensation docs reduced from 30–60 days to 10 hours end to end
- Reduced need for manual entry by auto-applying metadata at scale.
The hidden cost of unstructured data
For companies managing thousands of contracts, placements, and customer documents across multiple systems, the challenge isn’t just storage, it’s taking advantage of all the knowledge that lies in that unstructured content. At the Judge Group, a workforce of thousands of contractors was spending far too much time manually comparing documents, entering data multiple times, and struggling to track how information moved through their systems.
“In companies that work with a lot of different customers, you often have data across dozens of different platforms,” explains Matthew Campana, Vice President of Digital Transformation at The Judge Group. “There’s a lot of manual processes. There’s people looking at two pieces of paper seeing if they match. There’s multiple data entries.
Honestly, sometimes, data practices just don’t grow with the business.
This fragmentation created a cascade of inefficiencies:
- Legal teams spending hours reviewing contracts
- HR departments taking weeks to process compensation forms
- Sales teams unable to quickly access past RFP responses
Across the organization, unstructured data — PDFs, contracts, slide decks — remained trapped in silos, impossible to take full advantage of. This slowed productivity and introduced extra friction into workflows.
Converting unstructured information into structured metadata with Box Extract
The company works with 4,000-5,000 contractors at a time, and each relationship requires a “right to represent” contract. As Campana explains this process: “There are 13 points of data that we need. I don’t care if they come from a sticky note, an Excel spreadsheet, a phone call, or an email. I care how we get the information into our system.”
Extracting all that data from wildly different contract formats was the big challenge. The Judge Group began using Box Extract to automatically extract structured data from content and apply it as metadata across files. This rich metadata is the contextual information that makes content searchable, actionable, and ready for automation. “We specifically decided to leverage Box Extract to extract data and apply it as metadata to our documents to automate our processes and to have consistency across our systems,” Campana notes.
Using Box Extract, the Judge Group can now automatically pull all that contextual information as structured data from any document, whether it’s a simple form or a 300-page contract.
Metadata like dates, terms, department tags, and compensation figures is now set up to be the foundation for automated workflows that will dramatically accelerate business processes.
The company has migrated the entire contractor onboarding process from a manual Excel/email workflow to an automated process using Box workflow automation, Box AI, Box Forms, and Box DocGen to create a uniform onboarding signature process.
Custom AI agents reduced contract review time from 6 hours to 60 minutes
With thousands of contractor contracts in the mix, this opportunity created an initial AI proof point for the Judge Group. The workflow used to involve sticky notes, Excel spreadsheets, and emails.
Using Box AI Studio, the team created custom AI agents trained on specific business requirements. One agent now performs 49 different checks across all the contracts. As a result, contract reviews that once took humans up to six hours are now completed in one hour for even the largest master service agreements (MSAs). Speed isn’t the only benefit. These AI agents can analyze entire collections of contracts, identifying patterns, flagging renewals, and extracting standard terms.
Campana notes that the company’s initial goal was an 80% speed increase in contract review, but “We’re seeing even more than that.” As a result, he confirms, “We’re able to service our customers and get people deployed faster.”
From 60 days to 10 hours for the annual compensation workflow with Box Doc Gen, Box Sign, and Box workflow automation
Another use case that Judge Group was able to streamline and digitally transform with intelligent content workflows in Box is their annual compensation forms, which previously consumed 30 to 60 days of manual effort across 26 offices. This used to be a process that required HR staff to manually download, complete, and then upload hundreds of forms via Microsoft Word before transitioning them to DocuSign for final authorization.
Using Box Doc Gen, the team now pulls data from Excel sheets, automatically populates compensation documents, and routes them for signature with Box Sign. The entire workflow is orchestrated with Box workflow automation capability, which works with Box Doc Gen to dynamically generate custom documents and continuously monitor thousands of forms for completion. Once all signatures are collected, Box’s workflow automation tags the metadata, moves documents to appropriate departmental folders, alerts the right stakeholders, and triggers downstream business processes. This automated workflow has condensed the timing from up to 60 days to only 10 hours.
In general, Box workflow automation has helped the Judge Group gear their workflows around both scalability and compliance, with tangible effects:
Tasks that previously took dozens of hours across multiple staff members now require only minutes, freeing up hundreds of collective work hours to focus on higher-priority initiatives.
Campana says, “Hundreds of people-hours are going to come back to us so those people can work on more meaningful time-consuming processes.”
In addition, with basic training, Campana’s team can empower people across departments to set up their own automated workflows. The legal department, the HR department, contractors, and more all have power users versed in Box workflow automation tools, which Campana says means “there’s a little bit less reliance on IT and more empowerment to the business.”
Smart small to have big impact with AI
AI’s promise isn’t realized through models alone, but through the intelligent structuring and automation of content-driven workflows. The Judge Group’s approach — starting with specific, repeatable use cases and gradually expanding — demonstrates how enterprises can achieve quick wins while building toward comprehensive AI transformation. Campana says, “Being able to take simple use cases that have big impact opens up the doors to more meaningful conversation with our business experts and our excellent customer base.”
Aligning across functional teams and stakeholders has been another factor in AI success for the Judge Group. Stressing the need for collaboration and deep understanding of organizational processes, Campana says, “The number one thing you can do to save a lot of heartache… is get the right folks in the room answering ‘How does this process work?’”
This approach also helped create a positive cultural shift in how employees think about their roles and tasks following AI implementation. Rather than a fear of labor replacement, AI helped free the Judge Group’s people from robotic, repetitive tasks and allow them to focus on work that requires human judgment and expertise.
The future of Intelligent Content Management for the Judge Group
Looking ahead, the company plans to integrate Box with its ServiceNow platform for procurement workflows, train AI agents on historical RFP responses to accelerate proposal generation, and create conversational interfaces in Microsoft Teams where employees can interact with AI agents directly.
“Documents represent a process. We’re not just moving paper around for no reason. It’s tied into a business process, which is ultimately going to support our sales efforts,” Campana explains. “Anything happening through paper and email is going to begin going through Box’s automated workflow solution, leveraging partner systems like ServiceNow.”
Read about other Box professional services companies using Intelligent Content Management from Box.
