EkoSuryahadi
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AI AutomationEPCIN DEVELOPMENT

AI Contract Agent

AI assistant concept for contract review, clause extraction, and risk flagging in project and commercial workflows.

Aims to shorten first-pass contract review while keeping source references visible for human judgement.

PythonLLMFastAPIVector DB

The Challenge

Contract risk review is time-consuming and depends heavily on manual reading across long project documents.

The Solution

Developing an AI workflow for clause extraction, document Q&A, and risk summary generation with reference-backed answers.

Key Features

  • Clause extraction
  • Document Q&A
  • Risk summary
  • Reference-backed answers

Business Impact

  • Shortens first-pass review
  • Supports contract-risk visibility
  • Improves document searchability

Lessons Learned

  • AI contract tools must cite source text to build trust.
  • Human review remains essential for legal and commercial decisions.

Project Proof

Designed placeholder for architecture and evidence.

Real screenshots can be added later. For now, this proof layer documents the workflow, stack shape, and delivery logic behind the case study without inventing unavailable assets.

Architecture Summary

Developing an AI workflow for clause extraction, document Q&A, and risk summary generation with reference-backed answers.

Workflow

01

Frame the operational question

02

Prepare and validate source data

03

Clause extraction

04

Shortens first-pass review

Stack Grouping

Data & ML

PythonLLM

Application Layer

FastAPI

Infrastructure

Vector DB

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