ABA Formal Op. 512.

Prepare evidence for ABA Formal Op. 512 review

Buyer translation: this reference page maps the mark to a tool, system, control, deployment, or evidence question. generative-AI duties · competence · confidentiality · candor · supervision · ABA Formal Op. 512 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.

register 09 · Compliance controls· slug aba-op-512· family compliance 🧾 · best-fit emoji

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. generative-AI duties · competence · confidentiality · candor · supervision.

Source. opinion scroll · brass ethics seal.

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 ABA Formal Op. 512 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.

03 ·

Promise. compliance

The contract this mark binds — derived, not asserted.

ABA Formal Op. 512 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 ABA Formal Op. 512 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

ABA Formal Opinion 512 (2024-07-29), the ABA's first formal ethics opinion on generative AI, maps existing Model Rules onto a lawyer's use of GAI: competence (MR 1.1), confidentiality (MR 1.6), communication (MR 1.4), candor (MR 3.1/3.3), supervisory responsibility (MR 5.1/5.3), and reasonable fees (MR 1.5). Load-bearing holdings: lawyers must understand the benefits and risks of the tool (which implies evaluation evidence), boilerplate engagement-letter consent is not adequate for inputting client confidences into self-learning GAI, and output must be independently verified before it is relied upon.

What the evidence record proves.

  • Distinctness — outputs are measurably distinct, supporting an informed tool-selection record
  • Drift — run-to-run stability is measured, supporting the duty to understand the tool's behaviour
  • Coherence — internal consistency of outputs is scored
  • The sealed, reproducible record is the tool-evaluation evidence behind an MR 1.1 competence file and an MR 5.3 supervision file
  • Gives a firm a documented, dated basis for why it trusts a given AI tool

What this does not prove. Planisphere does not advise on confidentiality (1.6) consent, billing (1.5), or whether any specific use is ethical — those remain the lawyer's professional judgment. It measures the tool; the lawyer discharges the duty. Not legal advice and not a bar opinion.

Cite-anchor: ABA Formal Opinion 512 — Generative Artificial Intelligence Tools · Formal Opinion 512 (2024-07-29); Model Rules 1.1, 1.4, 1.5, 1.6, 3.1/3.3, 5.1/5.3

06 ·

The record this pin expects.

Related marks, and the surface this one funnels to.
07 ·

Routes here from.

Where this mark is referenced in the Planisphere surface.

Defense · Education · Law · Medicine · About

Any internal link in the Planisphere site that names "ABA Formal Op. 512" canonicalises here.

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