Document Processing · Enterprise Knowledge Search · Security and Compliance
Dynamiq needed a way to help legal teams process large volumes of contracts, compliance reports, and regulatory documents faster, while reducing manual review work and improving the consistency of compliance decisions.
Reported impact
Dynamiq helped legal teams review contracts faster, answer business questions much more quickly, automate clause-level compliance analysis, and shift legal operations from reactive manual review to proactive guidance and workflow automation.
Dynamiq built an AI-powered legal agent on the IBM watsonx platform using IBM watsonx.data, IBM Granite foundation models, and IBM watsonx Orchestrate. Watsonx.data acts as the unified lakehouse where contracts, compliance reports, and regulatory documents are ingested, organized, vectorized, and retrieved, including support for Milvus vector stores. On top of that data layer, Dynamiq uses a multi-model strategy: Granite small language models handle routine compliance activities such as template matching and formatting, while the agent performs semantic contract search, comparative analysis, clause-level compliance scoring, and legal Q&A. IBM watsonx Orchestrate and prebuilt APIs connect those insights to enterprise systems such as SAP, Salesforce, and ServiceNow, and the workflow can route documents for approval or escalate cases to humans. The result is a legal-operations platform that turns document repositories into an actionable knowledge base rather than a manual review queue.
Contracts, compliance reports, and regulatory documents are ingested into watsonx.data and Milvus, Granite-based models analyze them for search, clause scoring, and comparison, and watsonx Orchestrate routes the resulting insights into SAP, Salesforce, ServiceNow, and human approval workflows.
50% reduction in contract review
90% reduction in clause identification
Granite small language models handled routine compliance tasks such as template matching and formatting.
The solution’s modular architecture—including APIs and pre-built integration points with IBM watsonx Orchestrate—allowed legal insights to flow into business systems such as CRM and HR platforms.
watsonx.data served as a unified platform to ingest, organize and retrieve thousands of contracts, compliance reports and regulatory documents.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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