Legal teams at large enterprises sit on thousands of active contracts with manual review cycles. Obligations are missed, auto-renewals slip, change-of-control risk goes undetected. A contract intelligence layer extracts structured data from every contract, continuously, and surfaces what matters before it costs money.
The average Fortune 500 enterprise has 20,000–40,000 active contracts managed across legal, procurement, finance, and business units — often in inconsistent formats, stored in disparate systems, reviewed on manual cycles. The cost is not just attorney hours. It is the exposure: auto-renewal clauses that trigger without notice, change-of-control provisions that surprise acquirers, data processing obligations that violate GDPR without anyone realizing it.
Contract NLI (2021, Stanford NLP) and subsequent multimodal extraction research demonstrate that LLMs fine-tuned on legal clause taxonomies achieve 95%+ accuracy on obligation extraction, outperforming junior associate baselines. A contract intelligence layer ingests all contracts at ingest time, builds a structured obligation registry, and surfaces renewal dates, risk flags, and cross-contract inconsistencies on a rolling basis — not on a quarterly review schedule.