AI SECURITY FOR LEGAL
AI Security Assessment for Legal
Protect client confidentiality and meet ethical obligations as AI transforms legal practice.
AI Adoption in Law Has Outrun Ethics and Governance
Lawyers paste client communications into AI chatbots for faster drafting. Associates use AI-powered research tools that hallucinate case citations. Contract review platforms process privileged documents through third-party AI models. In each case, the duty of confidentiality under ABA Model Rule 1.6 collides with the reality of how AI tools handle, store, and potentially train on the data they receive.
The adoption curve is staggering. According to the 2024 Clio Legal Trends Report, 79% of lawyers now use AI in their daily practice — up from just 19% in 2023. Yet only 10% of law firms have any policy governing AI use, per Thomson Reuters' 2024 survey. This 69-point gap between adoption and governance represents an unprecedented professional responsibility risk, with lawyers potentially exposing privileged client information to AI systems that lack adequate confidentiality safeguards.
The regulatory environment is catching up. Colorado's SB 24-205 creates obligations for deployers of 'high-risk AI systems' — a category that can include AI tools making consequential legal decisions. State bars across the country are issuing ethics opinions and guidance on AI use, while the ABA's 2023 Cybersecurity TechReport found that 29% of law firms experienced a security breach. For firms without AI governance, the question is not whether a breach or ethics complaint will occur, but when.
Regulatory & Compliance Landscape
ABA Model Rules & Ethics Opinions
ABA Model Rule 1.6 requires lawyers to prevent unauthorized disclosure of client information. Ethics opinions from multiple state bars now address AI specifically, establishing duties of competence (Rule 1.1) and supervision (Rules 5.1-5.3) over AI tools used in legal practice.
Colorado AI Act (SB 24-205)
Colorado's AI Act creates obligations for deployers of high-risk AI systems, including impact assessments, transparency requirements, and consumer notification duties — directly relevant to law firms using AI for consequential legal decisions.
State Bar AI Guidelines
State bars across the country — including California, New York, Florida, and Texas — have issued or are developing AI guidance requiring disclosure of AI use, supervision of AI outputs, and safeguards for client confidentiality in AI-assisted legal work.
EU AI Act
For international firms, the EU AI Act classifies AI systems by risk level and imposes transparency, documentation, and human oversight requirements — particularly relevant for AI tools used in legal research, contract analysis, and dispute resolution across jurisdictions.
What We Assess in Legal
AI Contract Review Tools
Evaluate AI platforms used for contract analysis, clause extraction, and document comparison — assessing how client documents are processed, stored, and whether they contribute to model training.
E-Discovery AI
Assess AI tools used in electronic discovery for document review, privilege identification, and predictive coding — including data handling practices, accuracy validation, and defensibility of AI-assisted review decisions.
Client Confidentiality in AI Prompts
Identify where privileged and confidential client information enters AI systems — from drafting assistants to research tools — and evaluate data retention, third-party access, and model training policies.
AI Legal Research Accuracy
Review governance over AI-powered legal research tools for hallucination risk, citation accuracy, and verification workflows that prevent submission of fabricated case law or regulatory references.
AI Conflict Checking
Assess AI systems used for conflict-of-interest screening, evaluating data isolation between matters, accuracy of entity matching, and safeguards against inadvertent disclosure across client representations.
From Scoping Call to Secure AI Adoption
Scoping Call
We discuss your organization, AI usage, compliance obligations, and assessment goals. You receive a scoping questionnaire to complete before we begin. 30 minutes, no cost.
Discovery & Assessment
The assessment covers AI asset discovery, data flow analysis, security control evaluation, and compliance gap analysis using a proprietary methodology across 10 control domains.
Analysis & Reporting
Findings are risk-scored, prioritized, and documented in a comprehensive report package including executive summary, technical report, asset inventory, compliance matrix, and remediation roadmap.
Delivery & Remediation
We present findings to your leadership and technical teams, walk through the prioritized remediation roadmap, and provide a structured 30-day follow-up window for questions on the deliverables.
Assessment Scope Levels
The same methodology enterprise firms pay 10x for — at a price point built for mid-market budgets. Know exactly what you'll pay, what you'll get, and when it's done.
Focused
$7,500
4–6 weeks
Organizations (50–200 employees) beginning their AI governance journey
- Up to 10 AI tools assessed
- High-level data flow mapping
- 1 compliance framework (NIST AI RMF, CIS, ISO, etc.)
- Executive summary report
- AI asset inventory with risk classifications
- Compliance gap matrix
- Prioritized remediation roadmap
- Risk register
Scope confirmed during your free call
Comprehensive
$15,000
8–10 weeks
Mid-market organizations (200–500 employees) with active AI adoption
- Up to 50 AI tools assessed
- Detailed data flow mapping
- Up to 3 compliance frameworks
- AI control evaluation across 10 security domains
- Executive + technical reports
- AI asset inventory with risk classifications
- Compliance gap matrix
- Prioritized remediation roadmap
- Risk register
- 30-day follow-up advisory window
Scope confirmed during your free call
Every engagement starts with a free 30-minute scoping call to confirm the right tier for your organization. Flexible scheduling available to minimize disruption to your team.
Let's Assess Your Legal AI Security Posture
Every engagement starts with a free 30-minute scoping call.