Unverified AI Drafts Reaching Client Filings

Research and drafting copilots produce polished citations, clauses, and analyses that look authoritative. Fabricated citations and unsupported clauses have already reached court filings, leading to sanctions and reputational damage. PointGuard AI applies context-aware output policies to AI responses and escalates flagged content for human review before it reaches a client or court.

Polished AI output can hide fabricated or unsupported content.

• Models can invent citations, cases, or authorities.
• Generated clauses may not match firm standards.
• Deadlines encourage teams to skip verification.
• Errors in filings carry professional consequences.

Runtime Guardrails and AI Red Teaming check AI drafts and require review before release.

1. Define review policies. Set rules for citations, legal conclusions, financial figures, and client-facing content by practice group.

2. Inspect every output. Apply context-aware guardrails to drafts and flag unsupported citations and restricted content.

3. Escalate for review. Route flagged drafts to a responsible professional before filing or delivery.

4. Test and refine. Probe drafting tools with edge cases and refine policies as tools and rules change.

Guardrails support, and do not replace, professional review of work product.

• OWASP Top 10 for LLMs: LLM05 Improper Output Handling and LLM09 Misinformation, covering unreviewed output and fabricated citations or analysis.
• OWASP Top 10 for Agentic Applications: ASI09 Human-Agent Trust Exploitation, addressing overreliance on AI-generated work product.
• NIST AI RMF: MAP defines intended use; MEASURE evaluates accuracy; MANAGE requires review; GOVERN assigns professional responsibility.