IT Modernization Data Analytics Solution

: DATA ANALYTICS SOLUTION Issuing Agency This is a Request for Information (RFI) being issued by the Department of the Justice (DOJ), Antitrust Division (ATR) on behalf of its Technology Directorate (TD). Division

Background The primary mission of the Antitrust Division (ATR), U.S. Department of Justice (DOJ), is to promote competition in the U.S. economy through enforcement of, improvements to, and education about antitrust laws and principles. Its goal is an environment in which U.S. consumers receive goods and services of the highest quality at the lowest price, and in which businesses compete fairly on the merits. By protecting competition across industries and geographic borders, the Division’s work serves as a catalyst for economic efficiency and growth with benefits accruing to both American consumers and American businesses. The Executive : The Technology Directorate, the Management Directorate, and the Human Capital Directorate. The Technology Directorate administers the Division’s technology program, including automated litigation support, management information systems, and 's attorneys, economists, and managers. RFI Purpose The Government is conducting market research to evaluate existing market capabilities and vendor offerings that can support implementation of scalable, AI-enabled Data Analytics Solution (DAS), enabling advanced data processing, analytics, and mission-driven decision making. ATR will review vendor solution capabilities and the

pricing approach provided by each respondent. Response to this RFI is strictly voluntary and will not affect any firm’s ability to submit an offer if, or when, a solicitation is released. This RFI is issued solely for information and planning purposes and does not constitute a solicitation or obligation on the part of the Government. Neither unsolicited proposals nor any other kind of offers will be considered in response to this RFI. No entitlement to payment by the Government of direct or indirect costs or charges will arise as a result of the submission of information in response to this RFI. The Government shall not be liable for or suffer any consequential damages for any improperly identified proprietary information. Proprietary information will be safeguarded in accordance with the applicable Government regulations. If you submit proprietary information, you are responsible for adequately and clearly marking “PROPRIETARY” on every sheet containing such information and segregate the proprietary information to the maximum extent practical from other portions of your response (e.g. use an attachment or exhibit). Responses to the RFI will not be returned. An electronic acknowledgement of the Vendor’s RFI response submission will be provided. If you do not receive an acknowledgement within one workday, please notify the acquisition points of contact listed in this RFI to ensure successful delivery. Problem Statement The Antitrust Division (Division or ATR), within the U.S. Department of Justice (DOJ), works in the public interest to promote a competitive and productive American economy. The highest priorities of the Division are preventing anti-competitive mergers and acquisitions, curbing abuse of monopoly power, and prosecuting criminal bid-rigging and price-fixing cases. Mergers and civil enforcement cases affect the structure and performance of entire industries. The need for robust data ingestion, processing, and management tools has become evident in recent years. Companies are collecting more data than ever, and ATR must be positioned to efficiently scale data and analytical needs to support litigations and investigations. With the evolving landscape of data, analytics and AI tools and techniques, there is a critical need to establish an enterprise-wide data management, analytics and AI capability to aid in the streamlining of processes, tools, knowledge sharing, organizing and the facilitation of establishing these capabilities as a core function across the Division. ATR aims to develop centralized data management, analytics and AI practice that will drive and support the Division’s ability to effectively litigate and uphold antitrust laws, and address the following critical challenges: Rapid growth in data volume and complexity: Increasing complexity and volumes of structured and unstructured litigation data strains current tools and infrastructure.​ Limited advanced analytics capabilities: Existing tools do not sufficiently support pattern detection, predictive analysis, and the use of quantitative evidence to strengthen legal arguments. Inefficient data processing and workflows: Inefficient and fragmented processes for handling large datasets result in delays, reduced productivity, and higher operational costs. Gaps in data-driven decision support: Analysts and attorneys lack integrated tools for data visualization, modeling, and machine learning to enable timely, well-informed strategic decisions. Underutilization of modern data technologies: Current capabilities do not fully leverage scalable compute, cloud-native architectures, and advanced analytics platforms to support high-performance analysis and reporting.

Objectives The purpose of this RFI is to gather detailed information from qualified vendors on available data analytics platform solutions that can support the ATR’s mission to enforce antitrust laws through advanced, data-driven analysis.​ Specifically, this RFI seeks to:​ Identify platforms capable of supporting large-scale data ingestion, processing, and analysis of structured and unstructured data.​ Evaluate Artificial Intelligence/Machine Learning (AI/ML) enabled capabilities that enhance economic analysis, pattern detection, and litigation support.​ Understand each vendor’s approach to security, compliance, and data governance within a government environment.​ Assess the ability to integrate with the Agency’s existing cloud infrastructure (Azure-based environment).​ Gather information on performance, scalability, and operational efficiency​. Compare deployment models, cost structures, and licensing approaches​. Evaluate vendor experience, maturity, and support models for public sector implementations.​ After documenting ATR’s problem statement and RFI

objectives and through a series of research and evaluation activities, the Division has identified a list of business, functional and non-functional

requirements on which the products will be evaluated. Vendor Responses Each vendor shall submit a complete response that includes the following components: Response to Business, Functional, and Non-Functional