LLM citation-hallucination detection for regulatory/legal documents

LLM citation-hallucination detection for regulatory/legal documents targets a $8.0B = 200,000 enterprises (50+ employees globally) x $40K ACV total addressable market with medium saturation and a year-over-year growth rate of 35% (enterprise AI & compliance tooling adoption).

Key trends driving demand: LLM adoption in enterprise -- more teams use generative models for drafting, increasing hallucination exposure and need for verification.; Regulatory scrutiny -- governments and auditors demand provenance and recordability of AI-assisted work, increasing compliance spending.; Improved document access and APIs -- agencies and courts publish more structured data and APIs, enabling programmatic verification.; Vector search + retrieval-augmented generation (RAG) -- RAG pipelines create dependency on good sources; verifying RAG outputs becomes a natural extension..