Regulation Tracker / United States (federal)
Proposed Federal Rule of Evidence 707: Machine-Generated Evidence
Judicial Conference of the United States, Committee on Rules of Practice and Procedure
last revised 2026-06-04last verified 2026-09-031 versioncountry page →
country page →Court ruleProposedVerification duty
map categories:AI-generated evidence
A proposed United States federal evidence rule that would subject machine-generated evidence, including AI output offered without an expert, to the reliability standards of Rule 702. Public comment closed 16 February 2026. In June 2026 the Standing Committee declined to recommend adoption and returned the rule for further study alongside deepfakes; the earliest effective date is after 1 December 2027.
- Applies to
- parties, lawyers, judges
- Effective
- See version history
- Current version
- Returned for further study (Standing Committee, June 2026) · 04 Jun 2026
- Last verified
- 03 Sept 2026
What the document requires
- Would apply Rule 702 reliability requirements to evidence produced by a machine or process without a testifying expert.
- Public comment period ran to 16 February 2026.
- Standing Committee did not recommend action on 3 to 4 June 2026; rule revised and returned for study with deepfake issues.
- Reported in the September 2026 reports to the Judicial Conference.
Version history
| Version | Date | What changed | Source |
|---|---|---|---|
| Returned for further study (Standing Committee, June 2026)current | 2026-06-04 | First version recorded. | official |
Sources
Cite this record
SafeLegalAI Legal AI Regulation Tracker, "Proposed Federal Rule of Evidence 707: Machine-Generated Evidence" (Judicial Conference of the United States, Committee on Rules of Practice and Procedure, Returned for further study (Standing Committee, June 2026), 2026-06-04), safelegalai.com/regulation/us-federal/us-fre-707-machine-generated-evidence (accessed 2026-10-07). Data: CC BY 4.0.
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