ATR IT MODERNIZATION: DATA ANALYTICS SOLUTION

Questions & Answers / Clarifications

This document contains questions and answers related to the ATR Data Analytics Solution RFI, providing clarifications on technical requirements, data handling, security, and operational aspects.

• Cloud Infrastructure: The government is open to vendors deployed in AWS Government hosting platforms, but the primary environment is Azure-based. Solutions must be FedRAMP High authorized and operate within government cloud boundaries.
• Data Sources & Volume: Initial data ingestion includes structured, unstructured, and semi-structured data from investigations and second requests. Expected data volume ranges from 5 KBs to 400 TBs, with potential for 500 TBs to 1 PB during investigations.
• Security & Authorization: FedRAMP High Authorization is required. The solution must meet all Authority to Operate (ATO) controls. Data must be processed within government cloud boundaries; no data can leave the government environment.
• User Base: The solution will primarily serve System Admins, Data Scientists, and Economists (>30 users), with a peak of 10 concurrent users. Attorneys and Paralegals may also be involved.
• Platform Flexibility: Open to multi-product platform responses or single-vendor suites, provided they are in a Gov Cloud with FedRAMP High Authorization. Layered or component solutions are also open to discussion, but all Appendix A requirements must be met.
• AI Model Sourcing: AI models must be from US-based companies, with data residency during inference required within US-based infrastructure. Foreign-origin open-source models hosted on US infrastructure are not compliant.
• Data Handling: All data, active compute state, and in-progress pipeline jobs require RPO ≤ 5 minutes. Data processing must remain within US-based infrastructure during inference.

These clarifications provide essential details for vendors responding to the RFI, particularly regarding cloud environment preferences, FedRAMP High requirements, data security, AI model sourcing, and acceptable architectures. Vendors should ensure their proposed solutions address these points comprehensively.

Form / Attachment / Pricing Sheet

This document, "DAS Evaluation Criteria Appendix A.xlsx", provides detailed instructions and definitions for vendors responding to requirements. It outlines the expected format for responses, including specific columns for "Vendor Response" and "Capability Level", along with definitions for each response option.

• Response Template: Vendors must use the provided template to address all requirements listed in Appendix A.
• Vendor Response Options:
  • Fully Supported: Requirement is completely met.
  • Partially Supported: Requirement is partially met, with gaps identified.
  • Not Supported: Requirement is not met.
• Capability Level Options:
  • Out-of-the-Box (OOTB): Native capability with minimal configuration.
  • Configurable: Available but requires standard configuration.
  • Custom Development Required: Requires coding or significant modification.
  • Not Available: No native capability exists.
• Comments Column: Vendors should provide additional clarifying information, dependencies, assumptions, or constraints.
• Requirement Definitions: The document lists specific Business (BR), Functional (FR), and Non-Functional (NFR) requirements across various categories such as Data Integration, Ingestion, User Experience, Security, Performance, Cost Management, Risk Management, and AI Capabilities. Each requirement includes a definition and placeholders for vendor responses.

This document is critical for bidders as it dictates how they must structure their responses to the technical and functional requirements of the opportunity. Understanding these definitions and response formats is essential for creating a compliant and competitive proposal. It also provides a comprehensive list of the specific capabilities and performance expectations the government is seeking.

Request for Information (RFI)

This RFI is issued by the U.S. Department of Justice (DOJ), Antitrust Division (ATR) Technology Directorate to conduct market research for a scalable, AI-enabled Data Analytics Solution (DAS). The goal is to evaluate existing market capabilities and vendor offerings that can support advanced data processing, analytics, and mission-driven decision-making for antitrust enforcement.

The ATR faces challenges with the rapid growth and complexity of litigation data, limited advanced analytics capabilities, inefficient data processing, gaps in data-driven decision support, and underutilization of modern data technologies. They aim to establish an enterprise-wide data management, analytics, and AI capability.

• Identify platforms for large-scale ingestion, processing, and analysis of structured and unstructured data.

• Evaluate AI/ML capabilities for economic analysis, pattern detection, and litigation support.

• Understand vendor approaches to security, compliance, and data governance in a government environment.

• Assess integration capabilities with existing Azure cloud infrastructure.

• Gather information on performance, scalability, and operational efficiency.

• Compare deployment models, cost structures, and licensing.

• Evaluate vendor experience and support models for public sector implementations.

• Business, Functional, and Non-Functional Requirements: Respond to Appendix A, indicating support levels (Fully/Partially/Not Supported) and capability availability (Out-of-the-Box, Configurable, Custom, Not Available).

• Pricing Model and Cost Structure: Provide a 1-2 page overview including pricing model, key drivers, licensing, professional services ROM, and other costs.

• Experience and Case Studies: Submit at least three case studies of government agency data analytics solution implementations (max 1 page each).

• Contracting Vehicle Eligibility: Indicate eligibility under GSA or SEWP, specifying contract vehicles and classification groups.

• Response Date: May 1, 2026, by 12 PM EDT.

• Submission Method: Email responses to Elliott.Jones@usdoj.gov and Jacob.Henson2@usdoj.gov.

• Questions Deadline: April 20, 2026, by 12 PM EDT.

• Questions Contact: Jacob.Henson2@usdoj.gov.

• This RFI is for information and planning purposes only and does not constitute a solicitation.

• Responses are voluntary and will not affect future offer opportunities.

• Appendix A (Requirements) is available via an Excel file linked within the RFI document.

• Target vendors listed in Appendix B are for reference; other qualified vendors are encouraged to respond.