AI Risk Review for Legal
Independent AI risk assessments for contract review, legal research, and discovery tools. Get evidence-backed findings and an AI Risk Certificate for confidentiality, accuracy, and enterprise procurement.
AI risk assessment built for Legal
Law firms and legal tech companies use AI for document review, contract analysis, legal research, and discovery. When those systems hallucinate citations, leak confidential information, or produce unreliable output, the impact is professional liability, client trust, and ethical exposure. Clients and enterprise buyers increasingly ask for evidence that AI tools have been independently assessed for security, accuracy, and governance.
RiskReview.AI provides fixed-scope, evidence-backed AI risk reviews for legal. We assess your AI systems (including prompt injection, access control, data handling, and output reliability) and align to frameworks such as the EU AI Act and NIST AI RMF. You receive findings, a remediation roadmap, and an AI Risk Certificate that supports procurement responses, client assurances, and internal governance. Our engagements are run by security engineers who test AI systems hands-on, so you get real risk visibility, not checklist compliance.
Why legal needs independent AI risk assessment
AI contract review tools that misinterpret clauses or miss critical terms can create liability; legal research assistants that cite non-existent cases undermine trust and ethics. Client and matter data flowing through third-party LLM APIs without proper controls creates confidentiality and privilege risk. Enterprise legal departments and law firms evaluating vendors want to know that AI tools have been independently tested for security, prompt injection, and data handling.
We see common gaps: no independent security testing before rollout, confidential data in prompts or logs without clear policies, and no documented assessment of accuracy or limitation. An independent AI risk review gives you a defensible baseline and deliverables (report and certificate) that you can use in RFPs, client conversations, and internal governance. That evidence is what sophisticated buyers and risk committees are starting to require.
When to choose an AI risk review
Choose an AI risk review when you are responding to a client RFP, an enterprise procurement or security review, or an internal risk or ethics committee request. Many legal tech companies and law firms use our Full AI Risk Review to satisfy vendor questionnaires and to demonstrate due diligence on AI. The AI Snapshot Review is a good first step if you have a small number of systems and need a fast risk picture. The Continuous AI Risk Program is for organizations that need ongoing visibility and annual recertification.
Packages
We offer three packages. The AI Snapshot Review ($15,000 USD) covers 2–3 AI systems in about two weeks. The Full AI Risk Review (from $65,000) includes a complete assessment, security testing (including prompt injection and data handling), compliance readiness, and an AI Risk Certificate. The Continuous AI Risk Program (from $120,000/year) adds quarterly reassessments and annual recertification. Pricing is fixed after a scoping call; there are no hidden fees. Payment terms are typically 50% to start and 50% on delivery of the final report and certificate.
AI Snapshot Review
$15,000 USD
2 weeks
Focused assessment of 2–3 AI systems with core security and governance. Ideal for getting a clear risk picture quickly.
Full AI Risk Review
From $65,000
4–6 weeks
Complete assessment of all AI systems with security testing, compliance readiness, and an AI Risk Certificate. Our most popular package.
Continuous AI Risk Program
From $120,000/year
Annual
Initial full review plus quarterly reassessments and annual recertification. Ongoing visibility and procurement support.
Process
Scoping & statement of work
We agree on which AI systems are in scope, data categories, compliance targets (e.g. EU AI Act, ISO 42001, sector rules), and timeline. You receive a fixed-scope statement of work and a clear proposal. No scope creep once we start.
Discovery & inventory
We build a complete inventory of in-scope AI systems: purpose, data flows, integrations, model provenance, and deployment. Data flow and retention are documented so we can assess governance and compliance.
Security testing
We run hands-on security testing tailored to AI systems: prompt injection, access control, API and integration exposure, and configuration review. Findings are evidence-backed and severity-rated.
Compliance & governance assessment
We score your posture against your target frameworks (e.g. EU AI Act, NIST AI RMF) and review governance, policies, and procedures. Gaps are documented with remediation guidance.
Reporting & certification
You receive a full report with findings, compliance readiness score, and a prioritized remediation roadmap. We issue an AI Risk Certificate and a board/regulator-ready summary. Optional executive and technical walkthroughs.