Risk Areas We Track
Legal AI demands more than traffic.
The same risk landscape applies to every Los Angeles firm we work with. No invented case studies. No fake testimonials.
1,300+
cases worldwide involving AI-generated or misleading material
AI Hallucination and Court Sanctions Risk
Large language models can produce false precedents, fake citations, and confident but incorrect legal claims. These failures trigger sanctions, embarrassment, and client harm. We treat hallucination as a first-class risk, not an edge case.
Two systems. One mistake. Double exposure.
Court Sanctions vs. State Bar Discipline
A sanctions order from a federal or state court is different from a state bar disciplinary complaint, and both can flow from the same AI misstep. Sanctions usually address conduct in a single case. Bar discipline can threaten a license. The visibility strategy we build respects both systems, because reputational recovery after either is expensive and slow.
Coverage questions come after the claim.
Malpractice Insurance Gaps for AI Errors
Many professional liability policies have not clearly caught up with AI-assisted work. A firm that relies on AI-generated research, drafts, or client communication without documented human review may find itself arguing about coverage after a claim. We help firms structure content and workflows that keep the human lawyer in control, which is what carriers and ethics opinions expect.
The lawyer is the filter.
Human Verification as a Non-Negotiable Rule
Every AI-assisted output in legal work, whether a blog post, a brief section, or a client-facing answer, must be verified by a qualified lawyer before it is published or relied upon. This is not a workflow preference. It is the dividing line between using AI as a research tool and using it as a substitute for judgment. We design content systems around that line.