Law Firms & Legal Tech

AI Governance for Law Firms & Legal

Attorneys are adopting AI faster than firms can govern it. Raidu protects client confidentiality, prevents privilege waiver, and ensures every AI-assisted output is traceable and defensible.

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The Unspoken Risks of AI in Legal Practice

The legal profession's ethical obligations make ungovern AI use uniquely dangerous. One leaked client name can end a career.

Client Confidentiality Breaches

Attorneys paste client names, case details, and privileged communications into AI tools daily. Model Rules of Professional Conduct Rule 1.6 requires reasonable measures to prevent unauthorized disclosure — and most firms have none for AI.

Attorney-Client Privilege Waiver

Sending privileged information to a third-party AI service without proper safeguards risks waiver of attorney-client privilege. Once waived, privilege cannot be reclaimed, and opposing counsel gains access.

Hallucinated Cases & Citations

LLMs fabricate case citations with alarming frequency. Attorneys have been sanctioned for citing non-existent cases in court filings. Without verification guardrails, every AI-assisted brief is a liability.

Ethical AI Use Obligations

State bar associations are issuing AI guidance rapidly. ABA Formal Opinion 512 (2024) and state-level rules increasingly require disclosure, supervision, and competence in AI use — creating new compliance obligations for every attorney.

How Raidu Solves This

Purpose-built AI governance that works the way your industry demands.

Automatic Client Data Masking

Raidu detects and masks client names, case numbers, opposing parties, financial details, and other privileged information before any prompt reaches an AI model. Confidentiality is enforced by default.

Privilege-Safe AI Architecture

On-premise deployment keeps all AI traffic within your firm's network. No client data ever reaches a third-party model's servers. Maintain privilege while using the most capable AI models.

Hallucination Detection

Raidu's hallucination guard cross-references AI outputs against source documents. Flag unsupported legal citations, unverified factual claims, and fabricated case references before they reach a filing.

Ethical Compliance Dashboard

Track AI usage across attorneys and practice groups. Generate reports for ethics committee review. Document reasonable measures taken to supervise AI use, as required by emerging bar guidelines.

SOC 2 Type II (pursuing)
Typically <50ms Added Latency
On-Premise Available
Input + Output Protection

Frequently Asked Questions

How does Raidu protect attorney-client privilege when using AI?
Raidu offers on-premise deployment that keeps all AI traffic within your firm's network, preventing privileged information from being transmitted to third-party AI services. For cloud deployments, automatic PII masking strips client-identifying information before prompts reach any external model.
Can Raidu prevent hallucinated case citations?
Yes. Raidu's hallucination guard validates AI outputs against source documents and can flag citations that cannot be verified. While no system catches 100% of hallucinations, Raidu adds a critical verification layer before AI-generated content reaches court filings or client communications.
How does Raidu help with ABA Formal Opinion 512 compliance?
Raidu provides the supervision and documentation framework that ABA Opinion 512 contemplates. Complete audit trails of AI usage, role-based access controls, content filtering, and usage reporting help firms demonstrate the reasonable measures and competence in AI use that the opinion requires.
Can different practice groups have different AI policies?
Yes. Raidu's policy engine supports per-team configurations. Litigation teams, corporate practices, IP groups, and others can each have tailored guardrails, model access, and sensitivity settings appropriate to their practice area.
What is the deployment model for law firms concerned about data security?
Raidu offers full on-premise deployment, private cloud deployment, and hybrid models. For firms with strict data residency requirements, on-premise ensures no client data ever leaves your infrastructure while still enabling AI capabilities.

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