Attorney copilots that don't invent case law — because rules say no.
Bookbag blocks hallucinated citations, holds outbound documents for attorney review, and produces evidence of AI oversight that maps to ABA Model Rule 1.1 (duty of competence) and 1.6 (confidentiality).
What keeps you up at night
Concrete risks Bookbag is built to mitigate.
Hallucinated case citations
The Mata v. Avianca problem. Runtime evaluation can verify cited cases exist before the output ships; Guardrails can block outputs with unsupported citations.
Privileged data leakage
A research agent summarizes a matter and ships it somewhere it shouldn't go. PII detector + content detectors catch privileged language patterns before outputs leave.
Unauthorized practice of law (UPL)
Your AI gives legal advice to a non-client. Guardrails can enforce 'all outputs include disclaimer + counsel sign-off' as a hard rule.
How Bookbag helps
Four products. Concrete capabilities. One data layer.
Citation verification + disclaimer gates
Rules can require citations match a known case database. Outputs missing standard disclaimers get blocked or held.
Full research trail
Every query, every retrieval, every output — the audit trail you'd produce on discovery anyway, already structured.
Taxonomy built for legal writing
Score outputs for factual accuracy, citation completeness, tone, and privilege-awareness. Staged auditor runs cheap fast model first.
Model Rule 1.1 evidence
Documented evidence of AI oversight for the bar — when the ethics committee asks, hand over the bundle.
Frameworks we auto-map for this industry
FAQs for this industry
Frequently Asked Questions
Stop flying blind. Put your agents on a governance platform.
Join the teams shipping safer AI with real-time evaluation, audit trails, and continuous improvement.