How U.S. Department of Justice uses AI

The Department of Justice reports a department wide entry for FOIA production tools, deployed in January 2025, that add AI to its FOIAXpress request processing: classifying documents, identifying sensitive or confidential information for redaction and removing duplicate documents. The outputs are classifications, recommendations and predictions, and the department rates the use as not high impact because it is not the principal basis for decisions with legal or significant effect. The expected benefits are faster processing, fewer human errors and more accurate, compliant processing; no measured outcome is published.

No outcome disclosed.

The Department of Justice consolidates the AI use cases of all its components into one annual inventory, reviewed by component representatives on its Emerging Technology Board with the Chief AI Officer. The 2025 inventory covers use cases in every stage from pre deployment to retired, combines similar, widely adopted AI use cases into single department wide entries and removes duplicate or mislabeled entries. It holds 315 entries, 30.7% more than the 2024 inventory, which DOJ attributes to closer collaboration between components to accelerate AI adoption.

• AI systems inventoried: 315, 2025 inventory

  "The 2025 AI Use Case Inventory includes 315 entries, a 30.7% increase from the 2024 inventory."

  Claimed by: organization

The Executive Office for Immigration Review, which runs the US immigration courts, lists a pre deployment use case for summarising court filings. Filings can run to hundreds of pages and are often poorly organised; the planned tool would summarise their contents with references to the source of the information, tab and label submission types, point adjudicators and legal support staff to where relevant content sits in the record, and summarise case law for training material. The stated aim is to let adjudicators spend their time on legal analysis and conclusions.

No outcome disclosed.

The Department of Justice lists AI assisted legal research in Westlaw and LexisNexis as deployed department wide since 2019 and 2020. These features recommend case law, statutes, regulations and scholarly articles and in some circumstances give an overview of the law in response to a query; the inventory classifies them as NLP and classical machine learning, so they are AI assisted search and recommendation rather than a generative drafting assistant. The generative tool on record is a CoCounsel pilot at the Executive Office for United States Attorneys since March 2024, meant for document review and other tasks as a comparison point to other commercial alternatives. Its listed outputs are automated transcriptions, metadata tagging suggestions and object and facial recognition in media files, not legal research or drafting. No outcome figures are published.

No outcome disclosed.

Department of Justice components use commercial eLitigation platforms such as Relativity and Everlaw for investigations, litigation and FOIA and Privacy Act work, and these tools increasingly include AI. The department's inventory entry describes surfacing potentially discoverable material in large collections of emails, text messages and other records, locating potentially inculpatory or exculpatory evidence, and identifying material to disclose or withhold under legal rules and privileges. The entry is department wide and deployed since January 2024. It is formally classified as "Presumed High-Impact, but Not High-impact", because the output is not the principal basis for decisions with legal or similarly significant effect, while noting that the tools are used in high impact contexts and that individual uses vary. No outcome figures are published.

No outcome disclosed.

Since September 2023 the Justice Management Division has used Exiger's DDIQ platform to run supply chain risk management assessments. The AI continuously ingests sources such as news articles, legal filings and public records and returns vendor profiles (corporate records, beneficial owners, sanctions lists, adverse media, litigation history, financial stability and supply chain relationships), risk dashboards and risk scores for foreign ownership, control or influence, reputational, criminal and regulatory issues and financial health. The department uses the output to decide whether to move forward with the acquisition of goods or services. No outcome figures are published.

No outcome disclosed.