AI-powered platform that transforms messy documents into structured, searchable data

AI-powered platform that transforms messy documents into structured, searchable data

Domain
Fintech
Fintech
Estonia
country
Estonia
6
Team involved

1 Business Analyst

1 Project Manager

2 Full-Stack Engineers

1 Designer

1 QA

Story

Working with different companies around the world we've heard that teams are spending hours going through insurance contracts, legal documents, and audit reports — each in a different format. Of course we know, how easy is it to be overwhelmed by manual reading and struggling to extract the key information you actually need.

So we decided to create a solution to automise and simplify the process

As the Project Manager of Enodoc, I see every day how our solution changes the way teams work with documents. When I first joined the project, many of our partners struggled with overwhelming paperwork, slow manual checks, and constant risks of human error. Watching how Enodoc solves these problems has been inspiring.Our platform doesn’t just automate routine tasks—it truly understands documents. By leveraging advanced AI, Enodoc highlights key details, detects risks, and connects information across thousands of files. For me as a PM, the most rewarding part is seeing how legal experts, insurers, and financial analysts now make decisions in minutes instead of days.

Enodoc has become more than a tool for our clients—it’s a reliable partner that turns documents into valuable insights and helps people focus on what really matters.

Pavlo B.

Project Manager at
Enodoc.ai

Project Activities

Back End
Back End
Front End
Front End
Business Analysis
Business Analysis
Management
Management
UX/UI design
UX/UI design
QA
QA
DevOps
DevOps

Technologies and Integrations

Python
Next.js
AI/LLM Integration

Enodoc is an AI-powered platform designed to simplify how legal, financial, and compliance professionals work with complex documents. Originally created for business insurance teams struggling with high volumes of unstructured files, Enodoc transforms hours of manual reading into instant, AI-driven outputs.

Users can upload a bulk of documents in various formats — PDF, DOCX, XLSX, and more — and ask questions in natural language. The system returns precise, context-aware answers powered by advanced language models, allowing professionals to focus on decision-making instead of decoding paperwork.

Most importantly, Enodoc helps turn unstructured documents into structured data. Whether it’s 100 contracts, reports, or policies — teams can extract key insights and export everything into a single, clean spreadsheet in seconds.

Noticing our clients and other teams spending a lot of time for things that could be done much easier and faster, we decided to create a solution that could:

  • Understand domain-specific regulatory language
  • Process documents in multiple formats
  • Identify and extract key fields from unstructured text
  • Structure raw content into actionable data
  • Deliver fast, accurate answers
  • Meet strict security and privacy requirements

Our Solution

We built a custom document intelligence platform from scratch — fast, secure, and scalable — with a focus on real-world usability. Key components included:

  • Automated document ingestion and interpretation
  • Building an intuitive interface to ask questions directly to the document set
  • Support for legal, financial, and compliance-specific terminology
  • Privacy-first architecture with on-premise/private cloud deployment
  • Structured export and API access for workflow integration
  • Data extraction engine that turns 100+ documents into one structured spreadsheet — ready for analysis or audit

With a trial tests, the result was a 75% reduction in manual effort and significantly faster, more reliable document processing.

Key Features

  • Batch upload of documents in PDF, DOCX, XLSX, and more
  • Predefined and custom prompt templates for consistent data extraction
  • Deep language understanding for legal and financial terminology
  • Document-to-dataset conversion for compliance, audit, and reporting
  • Analytics dashboards for visibility into large document sets

Development Challenges

Parsing inconsistent document structures

Legal and financial documents often lack a unified structure. We built a flexible parser to normalize and extract key data accurately.

Training for context-aware answers

To ensure trustworthy outputs, we fine-tuned prompt strategies and managed large context windows across document sets.

Privacy-first architecture

The solution was designed for on-premise and private cloud use, with full data governance and security compliance.

Balancing speed and accuracy

Sub-second responses required architectural optimization without compromising output quality — especially for compliance-sensitive queries.

Delivered Value

With Enodoc, our clients achieve:

  • Up to 75% reduction in contract review and audit time
  • Structured output from unstructured input — turning document piles into spreadsheets and dashboards
  • Improved collaboration across legal, compliance, and finance teams
  • Automated document processing with clear, trackable outputs
  • Scalable and integration-ready architecture for future growth

Result

Enodoc delivers a radically simplified document experience for insurance teams and legal ops departments looking to cut through the chaos of documentation and deliver faster, error-free results. Built by a lean team in record time, it proves how AI can drive both operational speed and precision — without compromising on security or control.

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