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Case study | Fintech
Finding the Clause Before the Deal Closes
01
A credit team spent days hunting covenants and renewal dates across PDFs. Suraket delivered a generative contract-intelligence workspace that extracts clauses, flags gaps, and keeps a lawyer on the save.
Review time per agreement cut by
54%
Missed renewal dates in the sample set
0
Lawyer time on first-pass reading down
47%
02
Agreements lived in email and shared drives. Analysts copy-pasted into spreadsheets. Renewals were missed. A fully automatic legal bot was requested. That was the wrong product.
03
Suraket built ClauseGrid: upload, extract, compare against a playbook, and a required legal review before anything writes to the credit file. Generative summaries sit next to the source clause. Low-confidence extractions stay in a queue. The core credit system is updated only through an approved API.
Customer
Credit & Financial Services Team
Industry
Fintech
Services delivered
Generative AI Development
Document Intelligence
Credit-ops workflow
Integration to the system of record
Human-in-the-loop legal review
Audit trail
Built with
LLM · Python
04
54%
faster first-pass review
✓
Playbook gaps visible before close
✓
Lawyer still owns the write-back
✓
Full audit of extract, edit, and save
05
Generative AI Development
Document Intelligence
Credit-ops workflow
Integration to the system of record
Human-in-the-loop legal review
Audit trail
06
LLMOCRClause classificationEvaluation set
PythonNode.jsREST
Document storeCredit core API
EncryptionRole gatesLegal hold
Customer
Contract intelligence that speeds the first pass and leaves the legal decision with a person.
Tell us what is stuck. A senior person replies, and we will say plainly whether we are the right team.