AI GOVERNANCE, RISK & COMPLIANCE (GRC) FOR LEGAL & E-DISCOVERY
Protect Privilege.
Ensure Accuracy. Automate Compliance.
TestSavant.ai provides an end-to-end GRC platform for legal AI. Our autonomous security prevents leakage of privileged information, stops case law hallucinations, and delivers audit-grade evidence for ethical compliance.
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Reduction in Privilege Breaks
Automated guardrails to detect and redact attorney-client privileged data before model processing.
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Improvement in Factual Accuracy
Continuous red teaming to eliminate hallucinated case law and ensure factual grounding in legal research.
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Faster Ethics & Compliance Reporting
One-click evidence generation for ethical walls, data handling, and compliance with ABA Model Rules.
Solution Bundles for Legal Workflows
Deploy pre-configured guardrail packages for the highest-risk areas in legal practice.
Privilege & Confidentiality Shield
- Detect and redact Attorney-Client privileged content
- Enforce zero-retention policies for sensitive case data
- Automate ethical wall enforcement between matters
Factual Grounding for Legal Research
- Block hallucinated case law and statutory citations
- Require all outputs to be grounded in authoritative sources
- Insert disclaimers distinguishing AI assistance from legal advice
Contract Analysis & e-Discovery Guardrails
- Test for bias in AI-driven risk analysis of contracts
- Ensure repeatable, defensible results for e-discovery
- Log a complete, immutable audit trail for every document review
Legal Drafting & Copilot Safety
- Prevent the unauthorized practice of law with clear guardrails
- Human-in-the-loop approval gates for drafting suggestions
- Sanitize document uploads to prevent prompt injection attacks
From Threat Model to Enforced Control
How our platform translates specific legal AI risks into automated, auditable defenses.
| Threat / Failure Mode | Guardrail Decision (UGM + Nero) | Test Methodology (Coliseum) | Result |
|---|---|---|---|
| Hallucinated Case Law | Require citations from authoritative legal databases; deny if source is absent; flag for human review. | Prompt suites designed to invent plausible-sounding but fake legal precedents. | Increased factual accuracy; defensible research trail. |
| Attorney-Client Privilege Leakage | Entity detection for privileged content; redact before model call; enforce zero-retention policies. | Adversarial testing with mock privileged documents to verify redaction and logging. | Reduced risk of privilege waiver; provable data handling. |
| Prompt Injection via Doc Uploads | Sanitize and analyze uploaded documents (e.g., contracts, discovery files) for hidden malicious prompts. | CI/CD pipeline testing with documents containing indirect injection attacks. | Prevents unauthorized data exfiltration or system manipulation. |
| Bias in Contract Risk Analysis | Run fairness diagnostics on AI-suggested risk scores; require human review for outlier classifications. | Test with skewed contract datasets to measure and mitigate demographic or regional bias. | More equitable outcomes; auditable fairness metrics. |
Evidence-Based Compliance for Legal & Ethical Rules
Produce concrete artifacts mapped to the standards that govern legal practice.
ABA Model Rules of Professional Conduct
- ✓Rule 1.1 (Competence): Evidence that AI tools are regularly tested for accuracy and hallucinations, ensuring lawyers leverage technology competently.
- ✓Rule 1.6 (Confidentiality): An immutable audit trail proving that all reasonable efforts, such as data redaction and access controls, were made to prevent the inadvertent disclosure of client information.
NIST AI RMF 1.0
- ✓Govern · Map · Measure · Manage: Comprehensive risk registers for legal AI systems, detailed test results for bias and privilege leakage, and continuous monitoring dashboards.
ISO/IEC 42001 (AIMS)
- ✓A Structured AI Management System: A full suite of artifacts including your firm's AI policy, scope, roles (RACI), risk appetite statements, and control metrics for legal operations.
Data Privacy (GDPR, CCPA)
- ✓Data Protection by Design: Evidence that privacy-preserving measures like data minimization and redaction are implemented by default in your AI workflows.
- ✓Records of Processing Activities: Automated, exportable logs detailing what data was used by which AI system and for what purpose, simplifying compliance.
Frequently Asked Questions
How do you prevent hallucinations of legal precedent?
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Our platform enforces "factual grounding" by requiring AI-generated legal citations to be validated against an authoritative database (e.g., Westlaw, LexisNexis). Any unverified or hallucinated citation is blocked and flagged for human review.
How do you protect attorney-client privilege?
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We use advanced entity detection to identify and redact privileged information *before* it is sent to a third-party model. This provides a technical safeguard to prevent inadvertent disclosure and supports your ethical obligations under Rule 1.6.
Can this help enforce ethical walls between case teams?
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Yes. Our guardrails can be configured with matter-specific access controls. This allows you to enforce ethical walls at the data level, preventing an AI system from accessing or retrieving information from a case it is not firewalled for.
Upgrade Your AI Governance from an Ethical Risk to a Strategic Asset
Schedule a confidential briefing to see how TestSavant.ai provides the evidence and control needed to innovate responsibly, protect client data, and uphold your ethical duties.
