Clause Analysis

AI Document Processing

Parse contracts and sort corporate documents automatically with AI.

Solution Overview

Kibozera constructs document processing backends. We use LLM models to identify clauses in legal files, extract metrics from financial statements, and file paperwork into company databases.

We use OCR and LangChain document parsing to read files, extract target values, and sort files into classified directory systems.

Common Friction Points

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Legal and compliance teams spending days reading long contract files

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Data inaccuracies when manually logging PDF terms into system databases

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Messy file directories with uncategorized corporate documents

Core Benefits

  • check_circleAgreement review cycles shortened from hours to minutes
  • check_circleAutomated identification of risk clauses or dates
  • check_circleStructured data columns generated from unstructured PDF inputs

Recommended Technologies

PythonLangChainOpenAI APIPaddleOCRAWS S3FastAPI

Key System Features

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Feature 01

AI contract parser identifying deadlines, liabilities, and amounts

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Feature 02

Automated folder classification systems

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Feature 03

Secure backend vaults with user role permission settings

FAQs

Answers to common solution queries

Can you parse scanned PDF agreements?expand_more

Yes. The pipeline runs OCR to extract the scanned text, then feeds the layout segments to an LLM for structured clause checks.

Is our intellectual property protected?expand_more

Data security is our priority. We construct isolated processing servers and sign NDAs to ensure no leakages occur.