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Legal AIPrimary sector: LegalLast reviewed:

Ironclad AI

Ironclad, Inc. · EFROS US AI Vendor Governance Index entry

By Stefan Efros, CEO & Founder, EFROSReviewed by Daniel Agrici, Chief Security Officer, EFROS
Reviewed by CSO ·

Composite governance score

63/ 100C

C = mixed posture. Acceptable for non-regulated use; requires meaningful additional controls in regulated workloads.

Axes scored: 9 / 11
Trust-center maturity: 4 / 5
Sector weighting: Legal

About this vendor

Contract lifecycle management platform with AI features for contract drafting, review, and metadata extraction. Targets in-house legal teams.

Enterprise tier
Ironclad Business, Ironclad Enterprise (AI features included)

Twelve-axis governance scoring

Each axis is scored Yes / Partial / No / N/A against public evidence — vendor trust portals, BAAs/DPAs, SOC 2 report cover pages, published methodology documents. N/A applies when the axis is structurally inapplicable (foundation models, for example, defer Section 1557 to the downstream healthcare deployer).

AxisStatusEFROS noteSource
BAA / DPA availableYesIronclad signs BAAs for enterprise customers with PHI obligations.Ironclad Trust
Training-data opt-outYesCustomer contract content not used for training Ironclad's AI models.Ironclad Trust
US data residency optionYesUS data residency available for enterprise customers.Ironclad Trust
SOC 2 Type II reportYesIronclad holds SOC 2 Type II, ISO 27001, ISO 27017, ISO 27018.Ironclad Trust
ISO/IEC 42001 attestationNoNo ISO/IEC 42001 attestation.Public posture review
NIST AI RMF self-attestationNoNo public NIST AI RMF self-attestation.Public posture review
Colorado AI Act readinessNoNo Colorado AI Act-specific public statement.Public posture review
HHS-OCR Section 1557 readinessN/ANot positioned for clinical use.Ironclad positioning
FRB SR 11-7 readinessN/ANot positioned as a banking decisioning system.Ironclad positioning
ABA Formal Op 512 readinessPartialIronclad publishes general AI governance documentation; explicit ABA Op 512 mapping less prominent than legal-research-focused vendors.Ironclad AI governance documentation
Subprocessor list publicYesSubprocessor list public via trust portal.Ironclad Trust

Trust-center maturity

4/ 5

Mature trust portal with public certificate library, audit reports under NDA, subprocessor list. AI-specific governance less prominent than platform fundamentals.

Source: ironcladapp.com/trust

Deep dive

Overview

Ironclad is best understood as a CLM platform with AI features rather than a pure legal AI vendor. The governance posture is strong on platform fundamentals (BAA, residency, SOC 2 + ISO stack) — matches the standard a corporate legal team would require for any CLM. AI-specific governance is less prominent because the AI is an overlay on the contract workflow.

Strengths

  • BAA + US residency + SOC 2 + ISO 27k stack
  • Mature trust portal
  • Default no-train
  • Public subprocessor list

Weaknesses

  • No ISO/IEC 42001
  • No NIST AI RMF self-attestation
  • ABA Op 512 mapping less prominent than research-focused legal vendors

Best-fit use case

In-house legal teams using Ironclad as primary CLM, where AI features are workflow overlays rather than standalone deliverables.

Avoid when

Litigation or research-heavy practices — Ironclad's AI is contract-workflow-oriented, not research or matter-aware drafting.

Operator's take

Deploy Ironclad AI when in-house legal teams using Ironclad as primary CLM, where AI features are workflow overlays rather than standalone deliverables. The composite score of 63 (grade C) reflects a mixed posture for regulated US workloads. Skip the vendor when litigation or research-heavy practices — Ironclad's AI is contract-workflow-oriented, not research or matter-aware drafting. In every deployment, treat the cells above as a snapshot — the acquisition that gets to production safely is the one that re-verifies the trust-center posture before contract signature and rebuilds the matrix at renewal.

How this scoring is computed

The composite score blends eleven scoreable axes (BAA, training opt-out, US data residency, SOC 2, ISO/IEC 42001, NIST AI RMF, Colorado AI Act, Section 1557, SR 11-7, ABA Op 512, subprocessor transparency) with the trust-center maturity score. Axes marked N/A are excluded from the denominator so vendors are not penalized for sector-inapplicable axes. The vendor's primary sector amplifies the most relevant axes — healthcare vendors weight Section 1557 ×2, legal vendors weight ABA Op 512 ×2, banking vendors weight SR 11-7 ×2 — so the composite reflects what matters in the actual buying context.

Read the full methodology →

Disagree with this scoring?

EFROS publishes scoring rationale per cell with a public source. If you have evidence that a specific axis should score differently — a new BAA, a new certification, a documented policy change — submit a formal challenge below. We re-score and publish the result with the next quarterly edition (or as a mid-quarter changelog entry if the change is material).

Disagree with a score?

Every cell in the EFROS Index is source-cited. If you have a public source that contradicts a score for Ironclad AI, submit a formal challenge — we re-verify against the source and respond within 14 days.

Other vendors in Legal AI

Same category, scored on the same twelve axes. Useful for head-to-head shortlisting.

Disclaimer. Scoring as of 2026-05-13. Posture changes frequently — re-verify with the vendor's trust center before contract. This page is informational; it is not legal advice. EFROS clients get a refreshed posture review as part of the AI Governance Audit.

Take the scoring into production

The Index tells you the posture. These engagements turn the posture into a deployable program — vendor selection, governance policy, sector overlay, audit-ready evidence.