AI-Assisted Legal Document Review Workflow

A controlled document review workflow that extracts fields, highlights uncertain sections and keeps human approval in the loop.

Industry: Professional Services
Project type: Document intelligence and review portal
Engagement: Use-case assessment, extraction pipeline, review UI
Year: 2025

Public scope profile; documents, client identity and accuracy figures withheld.

AI-assisted legal document review on dual monitors

Project Overview

What we were asked to solve

A professional services team spent hours finding clauses and re-keying structured fields from documents that arrived in different formats. They needed speed without giving an automated model final authority.

WordbitX delivered a review queue: extraction produces values and source references, low-confidence fields route to a human, and every decision is logged.

The challenge

Documents varied by sender and layout.
The workflow needed source evidence for every extracted field.
Final acceptance had to remain with a qualified reviewer.

Our solution

Document ingestion with OCR and structured extraction.
Field-level confidence with links back to source text.
Reviewer queue, corrections, evaluation set and cost monitoring.

Key features delivered

Ingestion
OCR
Extraction
Confidence
Review queue
Source links
Audit

Technologies used

Python

OpenAI

LangChain

Node.js

PostgreSQL

Docker

Outcomes

Routine fields are prepared before a reviewer opens the document.
Low-confidence items remain visible instead of being silently accepted.
Each reviewed value can be traced to the source document.

Client names, commercial figures and confidential product screens are shared privately on request. The profiles below describe the scope, architecture and functionality WordbitX delivers. Newer profiles are explicitly labelled Confidential Client / public scope profile when the client has not approved public identification. We use relevant licensed photography or clearly labelled illustrative images rather than inventing a client logo, screenshot or result.