Case study · GenAI · at scale

Bulk legal & document analysis

Drawn from delivery inside a large regulated financial-services firm and published in de-identified form only: no client, system, dataset or document is named; third-party platforms are.

GenAI · at scale

~3,000Documents analysed

Challenge: Large volumes of legal and client documents hold risk and insight no team can review manually at scale
Built: A reusable GenAI engine for bulk extraction and analysis. In one application it analysed ~3,000 client documents for ESG consistency, using cohort analysis to flag outliers where messaging over- or understated ESG considerations.

DatabricksGenerative AIRAG

The service: GenAI for Internal Audit →

More case studies: Continuous controls monitoring platform · Unstructured email into a tested control · Firm-wide combined assurance map

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