[{"data":1,"prerenderedAt":96},["ShallowReactive",2],{"uc-org-u-s-securities-and-exchange-commission":3},{"organization":4,"includeUnpublished":13,"evidence":14},{"slug":5,"name":6,"country":7,"region":8,"industry":9,"wikidata":10,"records":11,"useCases":11,"indexable":12},"u-s-securities-and-exchange-commission","U.S. Securities and Exchange Commission","US","north-america","government","Q953944",3,true,false,[15,47,71],{"title":16,"useCases":17,"organization":19,"vendors":20,"summary":26,"stage":27,"year":28,"channels":29,"languages":31,"metrics":33,"outcomeDisclosed":13,"sources":34,"verification":39,"grade":42,"id":43,"useCaseTitles":44},"US Securities and Exchange Commission: CoCounsel pilot and AI features in legal research services",[18],"legal-research-and-drafting-assistant",{"name":6,"anonymized":13,"country":7,"region":8,"industry":9,"wikidata":10},[21,24],{"name":22,"role":23},"Thomson Reuters","platform",{"name":25,"role":23},"LexisNexis","The SEC's Division of Enforcement, Division of Examinations, Office of the General Counsel and Office of the Chief Data Officer are piloting Westlaw CoCounsel, a generative AI assistant, since October 2025 for legal research, document analysis and document production; its outputs are document summaries, draft documents and answers to user selected questions. Separately, the agency has used AI features in Lexis+ and Westlaw Precision for legal research since January 2020, and Enforcement uses Westlaw Quick Check to cross check SEC documents against case law. No outcome figures are published.","pilot",2025,[30],"internal-tools",[32],"en",[],[35],{"url":36,"title":37,"publisher":38},"https:\u002F\u002Fraw.githubusercontent.com\u002Fombegov\u002F2025-Federal-Agency-AI-Use-Case-Inventory\u002Fmain\u002FData\u002F2025_individually_reported_AI_use_cases.csv","2025 individually reported AI use cases (entries SEC-44 Westlaw Co-Counsel, SEC-62, SEC-63 and SEC-35)","Office of Management and Budget (GitHub)",{"level":40,"checkedAt":41},"source-verified","2026-09-27","B","sec-cocounsel-legal-research-pilot",[45],{"slug":18,"title":46},"AI legal research and drafting assistant for lawyers",{"title":48,"useCases":49,"organization":51,"vendors":53,"summary":57,"stage":58,"year":28,"channels":59,"languages":60,"metrics":61,"outcomeDisclosed":13,"sources":62,"verification":65,"grade":42,"id":67,"useCaseTitles":68},"US Securities and Exchange Commission: extracting data from FOIA request forms",[50],"freedom-of-information-request-processing",{"name":52,"anonymized":13,"country":7,"region":8,"industry":9,"wikidata":10},"Securities and Exchange Commission",[54],{"name":55,"role":56},"GDIT","integrator","The SEC's Office of Information Technology reports in the 2025 federal AI use case inventory a generative AI tool that captures and loads data from a submitted FOIA request form into a SharePoint list, so the request can be tracked through the office's eDiscovery lifecycle without staff retyping the form by hand. Built with GDIT and trained on FOIA forms already submitted to eDiscovery, the SEC lists it as deployed since March 2025; no outcome figures are published.","production",[30],[32],[],[63],{"url":36,"title":64,"publisher":38},"2025 federal agency AI use case inventory, individually reported use cases (raw data)",{"level":40,"checkedAt":66},"2026-09-29","sec-foia-request-form-extraction",[69],{"slug":50,"title":70},"AI for freedom of information request processing",{"title":72,"useCases":73,"organization":75,"vendors":76,"summary":79,"stage":58,"year":80,"channels":81,"languages":82,"metrics":83,"outcomeDisclosed":13,"sources":84,"verification":90,"grade":42,"id":92,"useCaseTitles":93},"US SEC: AI that surfaces accounts trading ahead of material price moves",[74],"market-abuse-surveillance-triage",{"name":6,"anonymized":13,"country":7,"region":8,"industry":9,"wikidata":10},[77],{"name":78,"role":56},"Aretec","The SEC Division of Enforcement uses a classical machine learning tool, operational since April 2018, to identify accounts whose trading came in advance of material equity price moves and that warrant further investigation. The output is a list of leads for enforcement staff, who decide what to investigate. The entry appears in the 2025 US federal AI use case inventory; no outcome figures are published.",2018,[30],[32],[],[85,88],{"url":86,"title":87,"publisher":38},"https:\u002F\u002Fgithub.com\u002Fombegov\u002F2025-Federal-Agency-AI-Use-Case-Inventory","2025 Federal Agency AI Use Case Inventory",{"url":36,"title":89,"publisher":38},"2025 individually reported AI use cases (entry SEC-34, Single Event Insider Trading Analysis)",{"level":40,"checkedAt":91},"2026-09-26","sec-single-event-insider-trading-analysis",[94],{"slug":74,"title":95},"AI for market abuse surveillance alert triage",1794503906684]