GreatNorthCollective/greatnorth-us-federal-ai-inventory huggingface dataset:
US federal AI use case: AWS Transcribe
Agency: Department of Justice - Department of Justice / TAX
Problem addressed: Creates machine transcription of audio or video to facilitate review and evaluation of evidence.
Purpose and benefits: Machine transcription facilitates faster review of data, decreasing time spent listening to and evaluating audio and video files. Saves funds that would otherwise be spent on transcription vendors.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: Presumed high-impact (determined not high)
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2022-01-01
US federal AI use case: AWS Translate
Agency: Department of Justice - Department of Justice / TAX
Problem addressed: Creates machine translation of foreign language documents to facilitate review and evaluation of evidence.
Purpose and benefits: Machine translation facilitates faster review of foreign language documents. Permits selection of key documents to be sent to vendors for evaluation and translation, speeding up review considerably and saving funds that would otherwise be spent on translation vendors.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: Presumed high-impact (determined not high)
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2022-01-01
US federal AI use case: JAWS (Text-to-Speech Assistant for Accessibility)
Agency: Department of Justice - Department of Justice / TAX
Problem addressed: Visually impaired personnel need assistance interpreting pictures and other visual objects and interacting with documents in a non-linear way
Purpose and benefits: Aids visually impaired personnel with documents.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2024-01-01
US federal AI use case: Trial Presentation Software
Agency: Department of Justice - Department of Justice / TAX
Problem addressed: Assists in presenting documents and video in a courtroom setting
Purpose and benefits: More effective courtroom advocacy; decreased time spent assembling presentations
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2024-01-01
US federal AI use case: Deposition Transcript Management
Agency: Department of Justice - Department of Justice / TAX
Problem addressed: Assists with marking up deposition transcripts and video
Purpose and benefits: More efficient organization, annotation, and display of transcripts and deposition video
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2014-05-01
US federal AI use case: Axon Video Retention Solution (VRS) - object recognition and redaction
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: The Object Recognition AI capabilities present in the Axon Evidence Redaction suite creates first-pass results for potential desired redactions of individual's faces, license plates and computer terminals.  The AI is intended to reduce manual work effort and reduce the time it takes to redact video and audio footage.
Purpose and benefits: This product allows for the protection of identities of Law Enforcement Officers and the public.  The only subjects not blurred/redacted are of the target(s) of the arrest.  In addition the expected benefits for using the object recognition capability includes reduced USMS personnel time required to produce redacted footage and obviate the need to procure outside redaction services.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2021-02-01
US federal AI use case: Facial Recognition Technology
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: Facial Recognition Technology helps to narrow down potential subjects for further investigative analysis. The AI assists with the possible identification of an investigative subject but the AI in this use case is only an investigative lead and never grounds for law enforcement actions. All leads generated with this AI use must be corroborated with additional law enforcement techniques before actioned.
Purpose and benefits: An increase in investigative efficiency leading to faster apprehension of violent fugitives and sex offenders and more rapid recovery of critically missing children.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2022-01-01
US federal AI use case: JMIS: JARS
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: Increases efficiently in movement of prisoners, less manual labor.
Purpose and benefits: cost savings, labor savings
Topic area: Admin Functions
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-10-01
US federal AI use case: JMIS: Route Optimizer
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: More accurate optimization of flight schedule
Purpose and benefits: Evaluates over 2000 possible flight options and selects the most optimal flight. Improves efficiency of JPATS through the optimal use of flight assets.
Topic area: Admin Functions
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2015-10-01
US federal AI use case: UiPath OCR activity
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: Errors and delays in manual data interpretation and data entry impact critical events in customer journeys and business process efficiency. UiPath states that it is an automation software that has intelligent document creating capabilities to replace manual processes before and after the reading of the flat file. Some of its stated features are extracting text and allowing entire workflows to take place in a single application with one application license.
Purpose and benefits: Automating data extraction from various documents and images, thereby increasing efficiency, accuracy, and speed in processes that involve manual data entry and document processing.
Topic area: IT
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Unmanned Aerial Systems (UAS)
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: Collision avoidance
Purpose and benefits: The AI predicts the movement of obstacles and subjects to plot a safe and efficient flight path. This allows the drone to anticipate and smoothly maneuver around objects instead of simply reacting to them. Skydio drones use AI to power their core autonomy features, enabling them to fly themselves safely and intelligently while a human operator focuses on the mission.
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2021-04-01
US federal AI use case: Video Transcription Tool
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: USMS uses open source natural language processing technologies and python code to transcribe an audio or video file into plain text.
Purpose and benefits: The product allows analysts to quickly convert a video or audio file to text.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2022-06-01
US federal AI use case: Axon Video Retention Solution (VRS) - Transcription
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: The Transcription AI capabilities present in the Axon Evidence Digital Evidence Management System creates first-pass results for transcription of spoken language in video and audio files into text.  The AI is intended to reduce manual work effort and reduce the time it takes to transcribe words spoken in video and audio files into typed text.
Purpose and benefits: The expected benefits for using the transcription capability includes reduced USMS personnel time required to manually transcribe words spoken in video and audio files into typed text and obviate the need to procure outside transcription services.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2021-05-01
US federal AI use case: Open Source Investigative Tool
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: USMS uses this tool for authorized investigative lead generation which will improve efficiencies of public safety and law enforcement missions.
Purpose and benefits: More efficient screening of leads for potential investigative actions.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2024-05-01
US federal AI use case: JPATS Mobile App (Biometrics)
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: Quicker identification of prisoner record from mobile manifest
Purpose and benefits: Time and labor savings resulting in cost savings
Topic area: Transportation
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2020-02-01
US federal AI use case: Aware
Agency: Department of Justice - Department of Justice / USNCB
Problem addressed: This commercial tool allows USNCB to ingest and process biometric information shared by domestic and international partners.
Purpose and benefits: Empowers USNCB to automate processing biometric data, improving the speed with which information is shared with partners.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: Presumed high-impact (determined not high)
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2024-01-01
US federal AI use case: Language Weaver
Agency: Department of Justice - Department of Justice / USNCB
Development stage: Retired
Risk category: High-impact
US federal AI use case: Thomson Reuters CLEAR
Agency: Department of Justice - Department of Justice / USNCB
Problem addressed: Access to large data sets used for locating persons of interest.
Purpose and benefits: Timely access to key data in the pursuit of persons of interest
Topic area: Law Enforcement
Development stage: Deployed
Risk category: Presumed high-impact (determined not high)
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2024-01-01
US federal AI use case: USTP AI Assistant
Agency: Department of Justice - Department of Justice / USTP
Problem addressed: Intended purpose is to enable USTP's IT team to understand the process to develop, test, tune and use Microsoft various AI services--Azure Open AI, Azure Open AI Foundry, Microsoft Copilot Studio.  A secondary purpose is understanding the full costs and time to develop and implement a use case from start to finish.  A tertiary purpose is to ensure the Generative AI service is providing useful responses and value given the cost and time to setup and deploy.
Purpose and benefits: Intended benefits of using Microsoft AI services would be to enable USTP staff to find information quickly on relevant questions they may have.  The use cases tested in Pre-Deployment phase  would help reduce Help Desk calls and increase productivity of users enabling them to find technical information quickly. Potential to help generate new content based on pilot testing.
Topic area: IT
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Writing assistant
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Quality and consistency of written comments
Purpose and benefits: Faster FBI operations
Topic area: Admin Functions
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Voicemail Transcription, Translation and Summarization
Agency: Department of Justice - Department of Justice / PARDON
Problem addressed: PARDON would like to leverage transcription, translation and summarization services available in the GCC high cloud environment to help reduce the processing time and level of effort associated with responding to voicemail inquiries.
Purpose and benefits: Cost savings, reducing customer wait times, improving customer experiences, improving PARDON Attorney experiences, and improving multi-lingual access to the government.
Topic area: Admin Functions
Development stage: Pilot
Risk category: High-impact
First used: 2025-09-01
US federal AI use case: Veritone
Agency: Department of Justice - Department of Justice / Department wide
Problem addressed: Improve transcription and translation of written, video, and audio files
Purpose and benefits: Veritone is used to translate and transcribe non-English language audio for attorney review. This machine translation does not constitute an official record, but is a tool to allow initial review of the audio by the attorney. Veritone is also used to provide English language translations of large sets of documents containing non-English text in order to get an initial idea of the document contents and do not replace official translation of evidence.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2019-03-01
US federal AI use case: UiPath Document Understanding
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: Reduce errors and delays in manual data interpretation and data entry. Potential for significant time savings, additional security and reliability since staff are not working through multiple applications to get the same task done.
Purpose and benefits: Use case  helps improve customer experience. It simplifies the processing of complex, unstructured data, expediting decision-making processing, onboarding, and servicing. Automating document processing also reduces the risk of errors. By mitigating the risk of human error, data input errors, missed information, and incorrect procedures are less likely to occur. The result is improved compliance, reduced time people spend on rework, and less losses for the agency.
Topic area: IT
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: UFMS ChatBot
Agency: Department of Justice - Department of Justice / JMD
Problem addressed: Create a personal assistant to provide application-level support to Unified Financial Management System (UFMS) users based on their functional needs/tasks.
Purpose and benefits: Reduce the need for system users to do manual research, reducing subsequent tier 1 help desk requests.
Topic area: Admin Functions
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Translation tool
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: Provide USMS with the tools that can be integrated with USMS and USNCB data stores such as email content and other files for multiple language translated to English and vice versa.
Purpose and benefits: The proposed tools are more cost efficient than other software based solutions. In addition, the tool provides significantly more languages beyond those purchased with previous tools.
Topic area: IT
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Transcription
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Time intensive manual transcription
Purpose and benefits: Faster FBI operations
Topic area: Law Enforcement
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Table of Contents / Table of Authorities Word plugin
Agency: Department of Justice - Department of Justice / TAX
Problem addressed: Efficient generation of tables of contents and tables of authorities
Purpose and benefits: Greatly reduces attorney and support staff time spent on generating tables
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-01-01
US federal AI use case: Systran Translate Server
Agency: Department of Justice - Department of Justice / CRM
Problem addressed: CRM uses Systran Translate Server for machine translation.
Purpose and benefits: Translate data from many languages to allow for review and investigation. Systran leverages NLP research with human expertise to train and evaluate models.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2025-01-01
US federal AI use case: System Performance Monitoring
Agency: Department of Justice - Department of Justice / TAX
Problem addressed: Improve monitoring of health of IT and litigation support systems. Better anticipation of outages or slowdowns
Purpose and benefits: Fewer and shorter IT outages due to faster responses times and better anticipation of problems
Topic area: IT
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Synthetic data generation for software testing
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Synthetic data generation for software testing
Purpose and benefits: Faster FBI operations
Topic area: IT
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Symphony AD-Hoc Batch Processing
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Translation, transcription, and summarization tool for language processing
Purpose and benefits: Faster FBI operations
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-10-01
US federal AI use case: Summarizing Inspection Actions and Results for Future Inspectors
Agency: Department of Justice - Department of Justice / DEA
Problem addressed: The Office of Inspection (IN) is leveraging the Business Improvement Section (ACB) to automate a large number of their work processes.
Purpose and benefits: Distilling large data sets, interpreting graphs, writing final reports, and summarizing results is time consuming. An AI prompt can assist in creation of a rough draft in significantly less time as opposed to the time and effort commitment from DEA's human capital resources. Cost savings could be achieved from reduced full-time equivalents spent on generating end user products. In addition, the turnaround time involved with many inspection result findings work processes would decrease.
Topic area: Admin Functions
Development stage: Pilot
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-07-01
US federal AI use case: Summarization Tool
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Summarization
Purpose and benefits: Faster FBI operations
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-01-01
US federal AI use case: Stream Processing & Analytics
Agency: Department of Justice - Department of Justice / TAX
Problem addressed: Stream processing framework for complex analytics
Purpose and benefits: We have identified a number of open-source tools that we believe could assist us with graphing relationships and other forms of data visualization.
Topic area: Law Enforcement
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Storyblocks
Agency: Department of Justice - Department of Justice / USMS
Development stage: Retired
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Smartphone and tablet operating systems and features
Agency: Department of Justice - Department of Justice / Department Wide
Problem addressed: DOJ's time sensitive mission benefits from optimizing use of its smart phones and tablets. It also need to update operating systems for cybersecurity features.
Purpose and benefits: Supports DOJ personnel to better serve the American public, especially when not directly utilizing their DOJ-issued computers.
Topic area: Admin Functions
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-01-01
US federal AI use case: Sentiment Analysis Tool
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Improved marketing of FBI jobs
Purpose and benefits: improved FBI recruitment and hiring
Topic area: HR
Development stage: Pilot
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-09-01
US federal AI use case: Search Tool for Prioritization
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Search result prioritization
Purpose and benefits: Faster FBI operations
Topic area: Law Enforcement
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Search Tool
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Better search results
Purpose and benefits: Saving time resulting in faster FBI response
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-08-01
US federal AI use case: Redaction Tool 2
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Time-intensive manual tasks
Purpose and benefits: Faster FBI operations
Topic area: IT
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Redaction Tool 1
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Time-intensive manual tasks
Purpose and benefits: Faster FBI operations
Topic area: Admin Functions
Development stage: Pilot
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-04-01
US federal AI use case: Record Digitization
Agency: Department of Justice - Department of Justice / EOIR
Problem addressed: Many agency records, including immigration case files, are paper records. EOIR must digitize paper records into electronic records to comply with federal laws requiring the agency's transition to digital processes. Parties to EOIR immigration proceedings experience delays in accessing case-related information when case records are maintained in paper format. EOIR must make voluminous copies of paper records to respond to records requests or otherwise spend time scanning paper records for digital transmission. EOIR has limited storage space available for paper records.
Purpose and benefits: Transition many components of the case adjudication process to a more efficient, primarily digital process. Improve access to case information for parties to EOIR immigration proceedings. Improve record request and response processes. Eliminate need for costly physical space to store paper records.
Topic area: Admin Functions
Development stage: Pre-deployment
Risk category: High-impact
US federal AI use case: Public Comment Analysis
Agency: Department of Justice - Department of Justice / Department wide
Problem addressed: DOJ strives to better serve the American public. For support timely responses following public comments submissions, especially for regulatory missions, this capability will facilitate efficient processing of duplicate and similar comments, while helping categorize, cite, and map public comments.
Purpose and benefits: This tool improves text analysis and the timeliness of such analysis. Importantly, the tool contains technology to quickly identify, organize, and address high-volume public comments, including letter submissions. It supports the development of dashboards to provide metrics.
Topic area: Admin Functions
Development stage: Deployed
Risk category: Presumed high-impact (determined not high)
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2023-01-01
US federal AI use case: ProLaw
Agency: Department of Justice - Department of Justice / PRAO
Problem addressed: ProLaw assists PRAO attorneys in searching a large quantity of prior PRAO inquiries and advice (stored within the database) to identify relevant historical inquiry files that will assist the attorneys in determining how PRAO has advised on similar matters in the past.
Purpose and benefits: The benefits of ProLaw is that it enables PRAO to store digitally, consistent with the component's records retention schedule, all PRAO inquiry files and then quickly search large quantities of inquiry files to identify relevant historical inquiries and advice to a current matter a PRAO attorney is working on.  This greatly reduces the amount of time it takes PRAO staff to research which then reduces the wait time of the Department attorney who has requested PRAO advice.  Because ProLaw allows PRAO to store records digitally, it also provides government cost savings in the amount of money paid to store hard copy records.
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2022-10-01
US federal AI use case: Procurement Data Triage Tool
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: To assist analysts in manual review
Purpose and benefits: More efficient and comprehensive procurement decisions
Topic area: Admin Functions
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-10-01
US federal AI use case: Administrative Chatbot
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Time intensive responses to questions
Purpose and benefits: Faster FBI operations
Topic area: Admin Functions
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Policy Chatbot
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Chatbot for policy
Purpose and benefits: Faster FBI operations
Topic area: Admin Functions
Development stage: Pilot
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-01-01
US federal AI use case: PLX
Agency: Department of Justice - Department of Justice / ATF
Problem addressed: Forensic analysis of data from multiple electronic investigation sources, including mobile phones, computers, and warrant returns, within the context of criminal investigations.
Purpose and benefits: Increases the efficiency of identifying pertinent information within the context of criminal investigations.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2024-01-01
US federal AI use case: Pega GenAI
Agency: Department of Justice - Department of Justice / USMS
Problem addressed: GenAI is a tool that can help developers generate workflows (code in Pega) faster
Purpose and benefits: Increased developer throughput on the Pega Platform
Topic area: IT
Development stage: Pre-deployment
Risk category: Presumed high-impact (determined not high)
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Palantir
Agency: Department of Justice - Department of Justice / EOUSA
Problem addressed: Integration and analysis of case information.
Purpose and benefits: Reduction in time required to update and maintain an accurate case management system.
Topic area: Law Enforcement
Development stage: Deployed
Risk category: High-impact
First used: 2025-06-01
US federal AI use case: Optical Character Recognition Tool 3
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Automating administrative tasks
Purpose and benefits: Faster FBI operations
Topic area: Procurement and Finance Mgmt
Development stage: Pilot
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-06-01
US federal AI use case: Optical Character Recognition Tool 1
Agency: Department of Justice - Department of Justice / FBI
Development stage: Retired
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Optical Character Recognition Tool 2
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Digitization of data
Purpose and benefits: Faster FBI operations
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-03-01
US federal AI use case: Object Detection Tool 2
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Data triage
Purpose and benefits: Faster FBI operations
Topic area: Law Enforcement
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Object Detection Tool 1
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Identifying if there is a barrier to biometric matching
Purpose and benefits: Better biometric matching
Topic area: Law Enforcement
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-06-01
US federal AI use case: NIST Compliance Recommender
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Manual assessments of NIST guidelines
Purpose and benefits: Faster FBI operations
Topic area: IT
Development stage: Pilot
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-09-01
US federal AI use case: NetDocuments
Agency: Department of Justice - Department of Justice / OPR
Problem addressed: The AI functionality of NetDocuments consists of predictive suggestions for saving files, such as Word documents and Outlook emails.  Through machine learning, NetDocuments predicts the OPR matter into which it thinks the end user should save a specific file.  The AI feature is intended to make the process of saving files into the pertinent matter number more efficient and streamlined.
Purpose and benefits: Because NetDocuments is OPR's repository of records, it is important that OPR staff save all matter-related files into NetDocuments associated with the correct OPR matter number.  The AI feature in NetDocuments is expected to make the process of saving files into NetDocuments more efficient and user-friendly.  That will both encourage end users to save files into NetDocuments and assist in making sure that files are correctly associated with the proper OPR matter numbers.
Topic area: Admin Functions
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-07-01
US federal AI use case: Named Entity Recognition
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Entity Extraction
Purpose and benefits: Faster FBI operations
Topic area: IT
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-10-01
US federal AI use case: Microsoft Office 365, Teams, and Windows default features
Agency: Department of Justice - Department of Justice / Department Wide
Problem addressed: Finding opportunities to optimally support DOJ personnel through existing Department-wide tools.
Purpose and benefits: These capabilities help DOJ personnel achieve efficiencies through integrated AI assistance across O365 applications in a secure environment, including editorial/grammatical suggestions, data analysis, task automation, and enhanced search.
Topic area: Admin Functions
Development stage: Deployed
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2020-07-01
US federal AI use case: Link Analysis and Chart Creation from Narrative Summaries
Agency: Department of Justice - Department of Justice / JMD / OCDETF
Problem addressed: Linkages are generally identified manually based on human review of unstructured narratives.  This is time consuming.
Purpose and benefits: AI batch review of large groups of data sources to identify linkages, permiting staff to focus their review and analysis.
Topic area: Law Enforcement
Development stage: Pre-deployment
Risk category: High-impact
US federal AI use case: Knowledge retrieval and synthesis (Azure OpenAI Services)
Agency: Department of Justice - Department of Justice / ATR
Problem addressed: Azure OpenAI will help ATR review large volumes of document-based data quicker and more efficiently.
Purpose and benefits: Enhance the speed and accuracy of legal analysis and review. This technology will allow ATR to quickly distill key information and insights, streamline workflows, reduce manual effort, and expedite legal analysis.
Topic area: Law Enforcement
Development stage: Pilot
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
First used: 2025-01-01
US federal AI use case: Internal Finance ChatBot
Agency: Department of Justice - Department of Justice / JMD
Problem addressed: Create a personal assistant to provide application-level support to Workiva users based on their functional needs/tasks.
Purpose and benefits: Reduce the need for system users to do manual research, reducing subsequent tier 1 help desk requests.
Topic area: Admin Functions
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Intelligent Workflow Optimization
Agency: Department of Justice - Department of Justice / EOIR
Problem addressed: Inefficiencies in agency processes, operations, and workflows.
Purpose and benefits: Recommendations and suggestions to improve various aspects of the workflows, operations, and processes supporting EOIR's mission functions. Improve and optimize EOIR's overall performance of its mission functions.
Topic area: Admin Functions
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Immigration Hearing Transcription and Translation/Interpretation Services
Agency: Department of Justice - Department of Justice / EOIR
Problem addressed: Language translation/interpretation and hearing transcription services for EOIR immigration proceedings are completed manually, requiring significant money and time costs. Current manual processes are slow and labor-intensive and prolong various stages of immigration proceedings. In-person translators have limited availability to attend immigration proceedings. AI-assisted real-time language translation and AI-assisted transcription of hearings can automate parts or whole processes for EOIR language interpretation and hearing transcription services to optimize resources, time, and costs expended by the agency and the public for EOIR immigration proceedings. AI-assisted translation and transcription can automate processes for transcribing audio recordings of immigration hearings into searchable text and interpreting testimony given in a foreign language in real-time for court staff and parties to proceedings.
Purpose and benefits: AI-assisted transcription may reduce or eliminate steps currently needed for the manual transcription process by creating preliminary drafts of hearing transcripts for manual review and verification. AI-assisted language translation can be completed in real-time and reduce the time to complete manual, simultaneous language interpretation during immigration hearings. EOIR personnel and parties to proceedings can conveniently read real-time translations from the convenience of courtroom computers and monitors. The solution needs to allow contracted interpreters to appear via video remotely, which provides a cost-savings compared to in-person interpretation services, and may reduce instances of inadvertently double-booking interpreters or navigating the interpreter’s availability to travel to different hearing locations, all of which makes the immigration adjudication process more efficient.
Topic area: Law Enforcement
Development stage: Pre-deployment
Risk category: High-impact
US federal AI use case: Immigration Case Filing Intake and Processing
Agency: Department of Justice - Department of Justice / EOIR
Problem addressed: Currently all immigration case filings are manually reviewed for the requisite physical quality (legibility, meets formatting requirements, etc.) before the filing is officially accepted or rejected by EOIR personnel, which prolongs the initial intake and processing of case filings. A large portion of initial intake and processing of case filings could be automated with AI tools only requiring manual review for outputs below a defined threshold.
Purpose and benefits: More efficient review of case filings at intake. Ability to reallocate EOIR administrative personnel to assist with other tasks in the immigration adjudication process.
Topic area: Admin Functions
Development stage: Pre-deployment
Risk category: High-impact
US federal AI use case: Immigration Case and Filing Content Summary
Agency: Department of Justice - Department of Justice / EOIR
Problem addressed: EOIR legal support staff and adjudicators review voluminous filings in EOIR immigration proceedings, sometimes ranging into hundreds of pages for a single filing, and parties to proceedings do not organize content clearly or at all, which hinders review and processing by EOIR personnel to adjudicate the case. EOIR legal staff organize, review and categorize documentation submitted, and many of these administrative functions could be automated. In addition, EOIR's legal education and training team spends hours reading and summarizing immigration case law to prepare agency trainings and informational materials.
Purpose and benefits: Technological assistance with research so adjudicators and legal support staff may focus their time and attention on utilizing their decision-making skill sets on legal analysis and drawing legal conclusions in an efficient manner. Decrease time and labor required for processing filings, reviewing filings, categorizing cases, and locating relevant content in filings, which improves the efficiency of the immigration proceedings. Decrease time and labor for reading and preparing immigration law trainings and informational materials.
Topic area: Law Enforcement
Development stage: Pre-deployment
Risk category: High-impact
US federal AI use case: Image processing
Agency: Department of Justice - Department of Justice / FBI
Problem addressed: Manual time-intensive image processing
Purpose and benefits: Process automation for faster FBI response
Topic area: Science
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Graph Analytics & Visualization
Agency: Department of Justice - Department of Justice / TAX
Problem addressed: Identifies case links and visualizations for complex relationships
Purpose and benefits: Assist with graphing relationships and other forms of data visualization.
Topic area: Law Enforcement
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Grant Risk Assessment Model v3
Agency: Department of Justice - Department of Justice / OIG
Problem addressed: Improved selection of grants to audit
Purpose and benefits: Provide auditors with an additional resource in performing risk assessments that assists in the audit selection process. Allowing auditors to focus work on higher-risk grants can allow for the recovery or redirection of misused government funds and improve auditor effectiveness and efficiency.
Topic area: Admin Functions
Development stage: Pre-deployment
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
US federal AI use case: Goblin
Agency: Department of Justice - Department of Justice / FBOP
Development stage: Retired
Impact assessment: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.