The story
An enterprise handling thousands of contracts across departments automated the extraction of parties, dates, values and contract types with an NLP pipeline.
The brief
Contracts varied wildly in format and language, so rule-based tools failed and legal experts did the extraction by hand.
What we delivered.
01
Document ingestion
Scanned and digital PDFs, text extraction and normalisation.
02
Context-aware extraction
Named entity recognition trained on contracts, mapped to a fixed schema.
03
Validated output
Structured JSON via APIs, with accuracy benchmarking.
PythonNLPTransfer learningREST APIs
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