The Legal Industry Framework

The legal industry was the first sector for which Raydorf calibrated its Standard. We now run that Standard on two tracks. The first certifies law firms at the institutional level. The second, the Raydorf Certified Counsel attestation, certifies the individual lawyer — a personal credential, portable across roles, for in-house counsel building careers in an AI-native era.


§ I Two tracks

One Standard, two credentials

Law firms operate as institutions: governance, talent, infrastructure, client experience. In-house counsel operate as practitioners: a single career, often across several companies. Raydorf evaluates both — but the unit of assessment, and the credential awarded, differ accordingly.

Track I

Firm Certification

Your firm, your Standard. The seven dimensions adapted to law firm practice, regulatory exposure, and the institutional duty to protect privileged information.

  • Awarded to the firm
  • Five maturity tiers
  • Optional EU AI Act Readiness Attestation
  • Public registry entry
Apply for Firm Certification

Track II

Raydorf Certified Counsel

A personal credential for in-house counsel. Awarded to the lawyer, not the role — the way a driver's license belongs to the driver. Travels with you when you change companies.

  • Awarded to the individual
  • Five capability dimensions calibrated for in-house practice
  • Renewed on a defined cadence
  • Listed in the personal registry (opt-in)
Register interest — Counsel

§ II Track I — Firms

What firm certification evaluates

The seven dimensions of the Standard, calibrated for law firm practice.

  1. Strategy & Leadership

    Managing partner or executive committee accountability. AI strategy reviewed at partner level on a defined cadence. A named individual responsible for the firm's AI program.

  2. Governance, Risk & Compliance

    Written AI policy aligned with applicable bar rules and the EU AI Act. Risk classification of AI use cases. Engagement letter language addressing AI involvement. Conflict and confidentiality controls extended to AI tools.

  3. Data & Knowledge Infrastructure

    Matter-level sensitivity labeling. Retention discipline aligned with professional obligations. A queryable institutional knowledge base populated through a defined matter-close process.

  4. Workflow Redesign & Operations

    Identified workflows where AI is the default first pass — typically due diligence, document review, contract analysis, legal research, and legislative monitoring. Documented before-and-after metrics.

  5. Talent & Operating Model

    AI fluency across fee-earners and operational staff. A designated operator role. Hiring criteria that reflect AI-era competencies. Defined training cadence covering both capability and risk.

  6. Client Experience

    Disclosure practice for AI involvement in client matters. Client-facing AI features where appropriate. Demonstrable service improvements attributable to AI maturity.

  7. Measurement & Accountability

    Cycle-time, quality, and utilization metrics. Logged human oversight on AI-assisted work product. An audit trail sufficient to reconstruct AI involvement on any matter at any time.

§ III Track II — Counsel

What the Counsel attestation evaluates

Five capability dimensions, deliberately tighter than the firm Standard because the unit of evaluation is one practitioner, not an institution.

  1. Regulatory Literacy

    Working knowledge of the EU AI Act, applicable bar and professional-conduct rules, and the intersections with privilege, confidentiality, and conflict-of-interest analysis. Able to spot when an AI use engages the high-risk regime.

  2. Tool Discernment & Vendor Diligence

    Informed selection of AI tools across the in-house workload. Reads vendor terms with attention to training-data use, model-update cadence, and data-handling commitments. Comfortable declining a tool that fails diligence, however well-marketed.

  3. Prompt Discipline & Verified Output

    Structured prompting. Reflexive source-checking. Hallucination-awareness as a working habit, not a slogan. Notes that would let an auditor reconstruct what AI did on any piece of work product.

  4. Workflow Redesign

    Identifies which parts of the in-house workload — NDA triage, policy drafting, regulatory monitoring, contract review, M&A diligence — should be AI-default. Rebuilds the workflow rather than bolting AI onto the old one.

  5. Disclosure, Communication & Practice Measurement

    Explains AI involvement to business stakeholders, the executive team, and outside counsel with calibrated confidence. Tracks own cycle time, quality, and where AI helped or hurt — treats personal practice as something to measure.

§ IV EU AI Act

EU AI Act considerations specific to legal practice

Most uses of AI in legal practice fall outside the EU AI Act's high-risk categories. However, certain uses — particularly those involving the assessment of natural persons in immigration, criminal, or employment contexts — may engage the high-risk regime. Both tracks include screening criteria to surface these uses: at the firm level under Track I, and as part of regulatory literacy under Track II. The EU AI Act Readiness Attestation remains a firm-level mark; counsel are tested on their ability to recognise and navigate it.