Legal

AI agent governance for law firms and legal departments

Client privilege, confidentiality obligations, bar ethics rules: your agents draft contracts, review documents, and conduct research with extremely sensitive data. Roval gives you the registry, monitoring, and audit trail your practice demands.

Request detail: research-assistant
Prompt content
Summarize deposition notes for Meridian Corp v. Apex, case #2024-CV-4891. Include counsel strategy notes.
privilege-boundary Violated
matter-id Meridian Corp v. Apex
case-number #2024-CV-4891
privileged counsel strategy notes
The challenge

Legal ethics rules were not designed for autonomous AI agents

AI agents are drafting contracts, conducting legal research, and reviewing documents that contain client-privileged information, with no supervision framework built for autonomous systems.

Attorney-client privilege can be waived the moment an LLM prompt contains privileged content and reaches a third-party API without proper safeguards.

Bar ethics rules require competence in supervising technology. Most firms have no way to demonstrate they are actually monitoring what their AI agents do.

Document review agents access case files across matters without access controls. One misconfigured agent could expose opposing-party data or conflict information.

Regulatory frameworks

Regulatory frameworks for legal

Pre-mapped requirements. Activate a framework and Roval tracks evidence per requirement.

US
ABA Model Rules aba-model-rules

Rules of Professional Conduct governing competence, confidentiality, and supervision of technology in legal practice.

Active
12 requirements Legal ethics
EU
GDPR gdpr

Data processing, consent management, and right to explanation for AI systems handling client personal data.

Active
14 requirements Data protection
Industry
SOC 2 Type II soc2-type-ii

Trust service criteria mapped to agent governance, required by enterprise clients and legal technology vendors.

Active
18 requirements Annual audit
EU
EU AI Act eu-ai-act

Risk classification, transparency obligations, and conformity assessment for AI systems deployed in EU jurisdictions.

28 requirements AI regulation
Industry
ISO 42001 iso-42001

AI management system certification: governance, risk management, and responsible AI practices for legal technology.

31 requirements AIMS certification
US
NIST AI RMF nist-ai-rmf

Voluntary risk management framework for identifying, assessing, and mitigating AI risks in legal operations.

22 requirements Risk management
Policies

Pre-built policies for legal

Start from a template, customize the rules, and activate. Every policy enforces controls on your agents.

Client privilege protection

Detects client names, case numbers, and privileged content in prompts. Blocks sensitive data from reaching external model APIs.

Active
12 blocked · 9 sensitive · 5 read-only
Document access controls

Restricts which agents can access which matters and case files. Enforces matter-level isolation across all AI interactions.

Active
8 blocked · 14 sensitive · 6 read-only
Contract review audit trail

Comprehensive logging for every agent interaction with contract documents: who accessed what, when, and what changes were suggested.

10 blocked · 7 sensitive · 8 read-only
Research citation verification

Guards against hallucinated case citations and statutes. Validates every legal reference before it reaches a brief or memo.

16 blocked · 4 sensitive · 3 read-only
Conflict of interest screening

Prevents agents from accessing opposing party data or matter files where a conflict exists. Enforces ethical walls automatically.

9 blocked · 6 sensitive · 5 read-only
Third-party vendor risk

Controls for external LLM API usage with client data: data residency checks, vendor approval lists, and cost limits per matter.

6 blocked · 4 sensitive · 8 read-only
How it works

Built for the audit that's already scheduled

Privilege-aware audit trail

Every agent interaction (document access, prompt content, response generation) logged with timestamp, user, matter, and privilege flag. Export to PDF for your managing partner.

Audit event log
09:14:02
contract-reviewer Agent registered, owner: j.martinez@firm.com
Registered
09:15:47
research-assistant Risk classified Tier 3, High (privileged data)
Tier 3
10:02:31
doc-summarizer Compliance evidence uploaded, ABA Rule 1.6
Evidence
11:38:09
contract-reviewer Certification approved, s.patel@firm.com
Certified

Real-time cost attribution

See which agents call which models, how many tokens they consume, and what they cost. Set budget alerts per practice group, per matter, per model.

Cost attribution, March 2026
Agent Model Tokens Cost
contract-reviewer gpt-4o 2.1M $1,080
research-assistant claude-3-5 1.6M $790
doc-summarizer gpt-4o-mini 540K $270
due-diligence-v2 gpt-4o 2.8M $1,640 ↑

Continuous compliance monitoring

Certifications expire. Configurations drift. Partners leave. Roval detects it all within 15 minutes and alerts before your next review.

Compliance posture
ABA Rules
96% Pass
GDPR
100% Pass
SOC 2
84% Review
contract-reviewer: Rule 1.6 evidence expires in 5 days
research-assistant: owner k.wong@firm.com departed

See Roval for legal

Join the private beta. Full registry and compliance setup in under 10 minutes.