FRE 707 (proposed).
Proposed Federal Rule of Evidence 707 would subject machine-generated evidence offered without a sponsoring expert to the same reliability factors as FRE 702(b)–(d) — a Daubert-shaped bar of a reliable method, reliably applied. The evidence record proves: Distinctness, drift, and coherence run against the fleet under test, sealed in a Merkle-rooted, SHA-256-pinned record
Reviewed 2026-07-08
What this is.
Use. machine-generated evidence · Rule-702-grade reliability for AI output (PROPOSED).
Register. 09 · Compliance controls — one of the 17 registers of the PLANiSPHERE corpus library.
See it work.
Planisphere measures your tool deployment against FRE 707 (proposed) and seals the result into a signed, Merkle-rooted evidence record. The grade recomputes on your own hardware; the model state never crosses the boundary.
Promise. compliance
FRE 707 (proposed) sets the bar an AI output must clear before a tribunal or a client relies on it — reliability, candor, competence. Planisphere supplies the reliability record: a reproducible measurement of the system that produced the output, the thing the rule says you must be able to show.
Answers: How does FRE 707 (proposed) treat AI-generated work, and what record supports review?
What it requires.
Proposed Federal Rule of Evidence 707 would subject machine-generated evidence offered without a sponsoring expert to the same reliability factors as FRE 702(b)–(d) — a Daubert-shaped bar of a reliable method, reliably applied. The rule is PROPOSED and not yet effective: advanced by the Advisory Committee on Evidence Rules 2025-05-02, public comment closed 2026-02-16, a final report is expected June 2026, and the earliest possible effective date is 2027-12-01. Until then it binds no one, but it signals the reliability foundation courts will expect of standalone AI evidence.
What the evidence record proves.
- Distinctness, drift, and coherence run against the fleet under test, sealed in a Merkle-rooted, SHA-256-pinned record
- Any party can recompute the record byte-for-byte
- Documents method reliability and application stability — the empirical record a 702/707-shaped reliability inquiry runs on
- Includes the 5-axis battery alongside the audit triad
- Produces the reliability record before the evidence is offered, not after a challenge
What this does not prove. Planisphere does not opine that any specific output is admissible — admissibility is the court's gatekeeping call — and does not certify a tool '707-compliant,' since Rule 707 is proposed and not yet in effect. It measures model behaviour and emits a reproducible reliability record; counsel and the court decide what it proves. Not legal advice.
Questions this answers.
The record this pin expects.
FRE 707 (proposed) asks for an evidence record: Proposed Federal Rule of Evidence 707 would subject machine-generated evidence offered without a sponsoring expert to the same reliability factors as FRE 702(b)–(d) — a… Read the related legal AI workflow product context at /law.
ABA Model Rules reg 09 · Rule 1.1 · 1.6 · 3.3 · 5.1–5.3 · Op 512 ABA Formal Op. 512 reg 09 · generative-AI duties · competence · confidentiality · candor · supervision AI Citation Sanctions reg 09 · hallucinated-authority sanctions wave · Rule 11 / 9011 · candor-to-tribunal FRE 702 reg 09 · expert testimony · reliability gatekeeping State Bar AI Opinions reg 09 · CA · FL · TX · NY · PA · NC bar gen-AI ethics guidance roundupSibling marks. Compliance controls
For each vertical.
FRE 707 (proposed) for defense AI workflow
NIST AI RMF · DoW RAI · OMB M-25-21 Open the pageFRE 707 (proposed) for clinical AI workflow
HHS §1557 · HIPAA · FDA PCCP Open the pageFRE 707 (proposed) for legal AI workflow
FRE 702 · ABA Model Rules Open the pageFRE 707 (proposed) for tutor and grader workflow
Title VI · FERPA · §504 / IDEA Open the pageSee the record FRE 707 (proposed) asks for.
The console shows the evidence; the docs show the endpoints; the briefing shows what the product does and does not claim.