How do I scope the FRE 707 (proposed) audit?

Use the brass 'Prepare evidence for FRE 707 (proposed) review' button. First evidence record within 21 days of access; re-runs in a single business day.

FRE 707 (proposed).

Prepare evidence for FRE 707 (proposed) review

Buyer translation: this reference page maps the mark to a tool, system, control, deployment, or evidence question. machine-generated evidence · Rule-702-grade reliability for AI output (PROPOSED) · 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.

Reviewed 2026-07-02

01 ·

What this is.

Sixty-nine marks · cite-anchors for every regulatory regime Planisphere maps to · postmark idiom · single distinctive brass glyph per control · universal classifier · pSEO surface

Use. machine-generated evidence · Rule-702-grade reliability for AI output (PROPOSED).

Source. gavel + rule · brass reliability beam.

Register. 09 · Compliance controls — one of the ten registers of the PLANiSPHERE corpus library.

02 ·

See it work.

Evidence record you can check — not code you have to trust.

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.

Prepare evidence for legal AI review →See how a record is checked

03 ·

Promise. compliance

The contract this mark binds — derived, not asserted.

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?

04 ·

What it requires.

The obligation this regime imposes — and the honest ceiling. Evidence / professional-responsibility rule

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.

Cite-anchor: Proposed Federal Rule of Evidence 707 — machine-generated evidence (PROPOSED, not yet effective) · Imports FRE 702(b)–(d) reliability factors; comment closed 2026-02-16, earliest effective 2027-12-01

05 ·

Questions this answers.

5 high-intent questions buyers search — each on its own page, each pinned to FRE 707 (proposed).

Is AI-generated evidence admissible in federal court? Read the answer → What is proposed Federal Rule of Evidence 707? Read the answer → When does FRE 707 take effect? Read the answer → How do I lay a reliability foundation for an AI model's output? Read the answer → Can an audit record prove my AI tool is reliable enough for court? Read the answer →

06 ·

The record this pin expects.

Related marks, and the surface this one funnels to.

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… The legal AI workflow produces that record — see how it runs at /law.