What’s the Right Choice for Your Regulatory Agency?
Federal rulemaking depends on public participation through the submission of comments on proposed regulations. Yet agencies face an unprecedented challenge: comment volumes are surging while budgets and staff are shrinking. The FCC’s 2017 net neutrality proceeding drew 22 million submissions. Meanwhile, many agencies have reduced staff and contractor resources to meet budgetary objectives. As agencies explore solutions to do more with less, a critical question emerges: should they build or buy a public comments analysis tool?
Let’s examine the pros and cons of each approach.
Table of Contents
Build or Buy a Comments Analysis Tool? The Longstanding Debate
For decades, agencies relied on manual review and generic tools—spreadsheets, simple databases—to process public input. These ad hoc systems rarely survive staff turnover or changing compliance requirements.
While agency staff and consultants have used a variety of tools ranging from Excel to Python scripts for supporting comments analysis, purpose-built software for comments analysis has emerged only recently. With advances in analytics and artificial intelligence (AI), agencies began exploring how automation could identify themes, deduplicate form letters, and extract meaningful insights from millions of submissions.
Early attempts to build internally often failed due to fragmented funding, an incomplete understanding of requirements, and absent maintenance plans. Without centralized support or long-term budgets, homegrown systems struggled to keep pace with shifting compliance standards, evolving requirements, emerging technologies, and surging comment volumes.
Today’s question isn’t whether to use technology—it’s whether building or buying delivers better value.
The True Cost of Building In-House
The hidden costs of building in-house typically exceed the visible costs by 3-5x.
Even a basic prototype requires 6-12 months and significant technical expertise to support diverse functionality.
A larger cost lies in what follows: maintaining, updating, and securing the system over time. Federal standards for data security and privacy constantly evolve. Compliance with frameworks such as FedRAMP and FISMA demands ongoing monitoring, documentation, and security testing. The platform must handle high-volume uploads, integrate with the Regulations.gov/FDMS ecosystem, and adapt to evolving data formats.
Adding advanced analytical features powered by various types of AI capability—comment clustering, sentiment scoring, topic identification and tagging—further increases complexity. Agencies may have to hire or contract AI engineers and data scientists to train models, fine-tune them, and monitor performance. Infrastructure costs, user support, and maintenance expenses accumulate quickly, making it nearly impossible to adhere to budgets.
For most agencies, these hidden costs make custom builds economically unsustainable, especially when commercial solutions already satisfy user needs and federal security requirements.
The Case for Buying: Speed, Security, and Scalability
Subscribing to a tool designed specifically for public comment analysis offers clear advantages:
- Fast user setup: DocketScope® can be operational in days, compared to many months, or even years, for custom solutions. Time to value should be a core consideration in today’s environment.
- IT security out of the box: FedRAMP authorized cloud services deliver authorization and compliance immediately, eliminating 12-18 months of certification work.
- Predictable budgeting: Subscription models provide predictable operational expenses at a fraction of the cost—typically 60-80% less than building and maintaining a custom solution.
- Continuous innovation: Feedback from multiple agencies drives regular improvements—enhanced deduplication, customizable workflows, better integration with regulatory data pipelines—delivered automatically through updates.
- Reliable support: Commercial tools include user support, training, regular updates, and guaranteed uptime. These resources are difficult to sustain internally when IT teams are already strained.
Moreover, commercial software products benefit from multi-agency use. Features developed for one customer benefit all others, creating a multiplier effect. The platform evolves continuously, staying aligned with regulatory practice and technological trends.
This approach aligns with longstanding Office of Management and Budget (OMB) guidance encouraging agencies to adopt commercial solutions rather than reinvent existing functionality. As agencies face escalating demands to analyze larger and more complex comment sets with fewer staff, access to specialized support becomes critical for maintaining operational continuity.
Real-World Evidence: Why Technology Matters Now
The gap between public engagement and government capacity continues to widen. Public comment volumes have surged, driven by digital campaigns and easier online submission tools. While mass campaigns can generate tens of thousands or more identical submissions, each still requires verification and proper handling.
The key challenge is distinguishing meaningful, substantive feedback from repetitive input—something AI-enabled systems excel at supporting.
Consider the FCC’s net neutrality docket: only 6% of the 21.7 million comments submitted were unique. Seven identical comment texts accounted for 8 million submissions—roughly 38% of the total.
Software products that automate deduplication, keyword tagging, and sentiment detection allow analysts to focus on substantive comments most likely to influence policy decisions. The result: faster turnaround times, more transparency, and improved traceability from individual input to summary and response.
The “Build-and-Abandon” Cycle
Experience shows that internal projects without sustainable funding typically led to waste. Even agencies with robust IT divisions have struggled to maintain specialized analytics tools. After high-profile rulemakings generating robust public engagement, some agencies have decommissioned custom systems when ongoing maintenance costs outpaced perceived utility.
This build-and-abandon cycle wastes resources and causes loss of institutional knowledge. By contrast, shared platforms evolve through cumulative user input, with improvements benefiting all agencies simultaneously.
The need for efficiency is reinforced by pressure on IT modernization budgets. Agencies must streamline data management while complying with frameworks like the Federal Data Strategy and OMB Circular A-130. Subscription solutions can be deployed faster and updated more frequently than bespoke systems, helping agencies adapt to both technological and policy changes.
Evaluating Return on Investment (ROI) Beyond Direct Costs
The direct cost of software development often captures initial attention, but agencies should assess multiple dimensions when determining whether to build or buy a comments analysis tool:
Custom Build vs. Commercial Software
- Time to value: 6-24 months for custom builds | Days for commercial platforms
- Security certification: Ongoing burden of FedRAMP compliance | Certified out of the box
- Innovation capacity: Limited by internal resources | Continuous improvements from multi-agency feedback
- Support: Requires dedicated IT staff | vendor-backed support included
- Scalability: Struggles without dedicated investment | Designed to handle volume spikes
- Interoperability: Requires custom integration work | Pre-built APIs and proven workflows
When these factors are considered together, subscription tools generate higher ROI than internal builds, particularly under staffing and budget constraints.
The Bottom Line
Building a comments analysis solution from scratch requires substantial investment in development, ongoing maintenance, security certification, and staff expertise. Commercial products like DocketScope already offer these capabilities at a fraction of the cost, enabling agencies to manage growing workloads with shrinking resources.
In an era of expanding public participation and tight agency budgets, using established, secure technology maintained by external providers allows agencies and contractors to concentrate on interpreting stakeholder input and improving regulatory outcomes—not building and maintaining software infrastructure.
Are you ready to see how a purpose-built public comments analysis technology can accelerate your agency’s comment analysis process while maintaining robust security and adaptability? Schedule a DocketScope® demo today.
Frequently Asked Questions About Building vs. Buying a Comments Analysis Tool
1. What is a comments analysis tool and why do regulatory agencies need one?
A comments analysis tool helps agencies review, categorize, and summarize the large volumes of public comments submitted during the comment period for a proposed rule. These software solutions streamline the review of significant issues, deduplicate repeated similar submissions such as form letter and other organized campaigns and improve transparency of the rulemaking record. Recent Supreme Court decisions have heightened the importance of thoroughly responding to significant issues raised in public comments. When viewed through this lens, the ROI becomes even more compelling: the cost savings from avoiding even one legal challenge could justify DocketScope subscriptions for an entire agency for years.
2. What are the pros and cons of building or buying a comments analysis tool?
Building a system internally offers control but demands major investment in software development, IT security compliance, and ongoing maintenance. Buying a ready-made solution like DocketScope provides faster time to value, predictable costs, and continual upgrades without draining internal IT resources. Government agencies and contractors using in-house tools would see immediate improvements in quality and cost savings by switching to DocketScope today.
3. Why do agencies prefer commercial tools like DocketScope?
DocketScope is purpose-built to help agencies efficiently analyze public comments. The platform meets federal security standards, scales easily for high-volume dockets, and evolves through shared user feedback across multiple agencies. This continuous improvement ensures reliable performance, compliance, and innovation, enabling agencies to do more with less.
4. How do security and compliance requirements impact decision making when considering whether to build or buy a comments analysis tool?
Buying a commercial solution makes it significantly easier to meet stringent security and compliance requirements than building in-house. Vendors maintain up-to-date certifications like FedRAMP and handle regular security audits, streamlining compliance, and reducing risk. By contrast, agencies that build must manage ongoing updates and documentation themselves—both costly and resource-intensive.
5. What are the resource and maintenance implications for agencies that build their own comments analysis solution versus buying one?
Buying a tool relieves agencies of the heavy maintenance and support burden that comes with building and sustaining a custom solution. While in-house builds demand significant technical expertise and ongoing resource allocation for development, support, and updates, commercial tools come with vendor-backed maintenance and regular upgrades, freeing internal staff for other priorities.
6. Does buying or building a tool better support scalability and adaptability to changing workload and analytical needs?
Buying a commercial solution offers superior scalability and flexibility for regulatory agencies. Vendors aggregate feedback from multiple agencies, driving frequent improvements, and ensuring the platform adapts to changing workloads and new analytics requirements. Custom-built tools often struggle to evolve without dedicated investment, limiting scalability over time.
Building vs. Buying a Comments Analysis Tool
What’s the Right Choice for Your Regulatory Agency?
Federal rulemaking depends on public participation through the submission of comments on proposed regulations. Yet agencies face an unprecedented challenge: comment volumes are surging while budgets and staff are shrinking. The FCC’s 2017 net neutrality proceeding drew 22 million submissions. Meanwhile, many agencies have reduced staff and contractor resources to meet budgetary objectives. As agencies explore solutions to do more with less, a critical question emerges: should they build or buy a public comments analysis tool?
Let’s examine the pros and cons of each approach.
Table of Contents
Build or Buy a Comments Analysis Tool? The Longstanding Debate
For decades, agencies relied on manual review and generic tools—spreadsheets, simple databases—to process public input. These ad hoc systems rarely survive staff turnover or changing compliance requirements.
While agency staff and consultants have used a variety of tools ranging from Excel to Python scripts for supporting comments analysis, purpose-built software for comments analysis has emerged only recently. With advances in analytics and artificial intelligence (AI), agencies began exploring how automation could identify themes, deduplicate form letters, and extract meaningful insights from millions of submissions.
Early attempts to build internally often failed due to fragmented funding, an incomplete understanding of requirements, and absent maintenance plans. Without centralized support or long-term budgets, homegrown systems struggled to keep pace with shifting compliance standards, evolving requirements, emerging technologies, and surging comment volumes.
Today’s question isn’t whether to use technology—it’s whether building or buying delivers better value.
The True Cost of Building In-House
The hidden costs of building in-house typically exceed the visible costs by 3-5x.
Even a basic prototype requires 6-12 months and significant technical expertise to support diverse functionality.
A larger cost lies in what follows: maintaining, updating, and securing the system over time. Federal standards for data security and privacy constantly evolve. Compliance with frameworks such as FedRAMP and FISMA demands ongoing monitoring, documentation, and security testing. The platform must handle high-volume uploads, integrate with the Regulations.gov/FDMS ecosystem, and adapt to evolving data formats.
Adding advanced analytical features powered by various types of AI capability—comment clustering, sentiment scoring, topic identification and tagging—further increases complexity. Agencies may have to hire or contract AI engineers and data scientists to train models, fine-tune them, and monitor performance. Infrastructure costs, user support, and maintenance expenses accumulate quickly, making it nearly impossible to adhere to budgets.
For most agencies, these hidden costs make custom builds economically unsustainable, especially when commercial solutions already satisfy user needs and federal security requirements.
The Case for Buying: Speed, Security, and Scalability
Subscribing to a tool designed specifically for public comment analysis offers clear advantages:
Moreover, commercial software products benefit from multi-agency use. Features developed for one customer benefit all others, creating a multiplier effect. The platform evolves continuously, staying aligned with regulatory practice and technological trends.
This approach aligns with longstanding Office of Management and Budget (OMB) guidance encouraging agencies to adopt commercial solutions rather than reinvent existing functionality. As agencies face escalating demands to analyze larger and more complex comment sets with fewer staff, access to specialized support becomes critical for maintaining operational continuity.
Real-World Evidence: Why Technology Matters Now
The gap between public engagement and government capacity continues to widen. Public comment volumes have surged, driven by digital campaigns and easier online submission tools. While mass campaigns can generate tens of thousands or more identical submissions, each still requires verification and proper handling.
The key challenge is distinguishing meaningful, substantive feedback from repetitive input—something AI-enabled systems excel at supporting.
Consider the FCC’s net neutrality docket: only 6% of the 21.7 million comments submitted were unique. Seven identical comment texts accounted for 8 million submissions—roughly 38% of the total.
Software products that automate deduplication, keyword tagging, and sentiment detection allow analysts to focus on substantive comments most likely to influence policy decisions. The result: faster turnaround times, more transparency, and improved traceability from individual input to summary and response.
The “Build-and-Abandon” Cycle
Experience shows that internal projects without sustainable funding typically led to waste. Even agencies with robust IT divisions have struggled to maintain specialized analytics tools. After high-profile rulemakings generating robust public engagement, some agencies have decommissioned custom systems when ongoing maintenance costs outpaced perceived utility.
This build-and-abandon cycle wastes resources and causes loss of institutional knowledge. By contrast, shared platforms evolve through cumulative user input, with improvements benefiting all agencies simultaneously.
The need for efficiency is reinforced by pressure on IT modernization budgets. Agencies must streamline data management while complying with frameworks like the Federal Data Strategy and OMB Circular A-130. Subscription solutions can be deployed faster and updated more frequently than bespoke systems, helping agencies adapt to both technological and policy changes.
Evaluating Return on Investment (ROI) Beyond Direct Costs
The direct cost of software development often captures initial attention, but agencies should assess multiple dimensions when determining whether to build or buy a comments analysis tool:
Custom Build vs. Commercial Software
When these factors are considered together, subscription tools generate higher ROI than internal builds, particularly under staffing and budget constraints.
The Bottom Line
Building a comments analysis solution from scratch requires substantial investment in development, ongoing maintenance, security certification, and staff expertise. Commercial products like DocketScope already offer these capabilities at a fraction of the cost, enabling agencies to manage growing workloads with shrinking resources.
In an era of expanding public participation and tight agency budgets, using established, secure technology maintained by external providers allows agencies and contractors to concentrate on interpreting stakeholder input and improving regulatory outcomes—not building and maintaining software infrastructure.
Are you ready to see how a purpose-built public comments analysis technology can accelerate your agency’s comment analysis process while maintaining robust security and adaptability? Schedule a DocketScope® demo today.
Frequently Asked Questions About Building vs. Buying a Comments Analysis Tool
1. What is a comments analysis tool and why do regulatory agencies need one?
A comments analysis tool helps agencies review, categorize, and summarize the large volumes of public comments submitted during the comment period for a proposed rule. These software solutions streamline the review of significant issues, deduplicate repeated similar submissions such as form letter and other organized campaigns and improve transparency of the rulemaking record. Recent Supreme Court decisions have heightened the importance of thoroughly responding to significant issues raised in public comments. When viewed through this lens, the ROI becomes even more compelling: the cost savings from avoiding even one legal challenge could justify DocketScope subscriptions for an entire agency for years.
2. What are the pros and cons of building or buying a comments analysis tool?
Building a system internally offers control but demands major investment in software development, IT security compliance, and ongoing maintenance. Buying a ready-made solution like DocketScope provides faster time to value, predictable costs, and continual upgrades without draining internal IT resources. Government agencies and contractors using in-house tools would see immediate improvements in quality and cost savings by switching to DocketScope today.
3. Why do agencies prefer commercial tools like DocketScope?
DocketScope is purpose-built to help agencies efficiently analyze public comments. The platform meets federal security standards, scales easily for high-volume dockets, and evolves through shared user feedback across multiple agencies. This continuous improvement ensures reliable performance, compliance, and innovation, enabling agencies to do more with less.
4. How do security and compliance requirements impact decision making when considering whether to build or buy a comments analysis tool?
Buying a commercial solution makes it significantly easier to meet stringent security and compliance requirements than building in-house. Vendors maintain up-to-date certifications like FedRAMP and handle regular security audits, streamlining compliance, and reducing risk. By contrast, agencies that build must manage ongoing updates and documentation themselves—both costly and resource-intensive.
5. What are the resource and maintenance implications for agencies that build their own comments analysis solution versus buying one?
Buying a tool relieves agencies of the heavy maintenance and support burden that comes with building and sustaining a custom solution. While in-house builds demand significant technical expertise and ongoing resource allocation for development, support, and updates, commercial tools come with vendor-backed maintenance and regular upgrades, freeing internal staff for other priorities.
6. Does buying or building a tool better support scalability and adaptability to changing workload and analytical needs?
Buying a commercial solution offers superior scalability and flexibility for regulatory agencies. Vendors aggregate feedback from multiple agencies, driving frequent improvements, and ensuring the platform adapts to changing workloads and new analytics requirements. Custom-built tools often struggle to evolve without dedicated investment, limiting scalability over time.