How LLM Improves Document Processing for SaaS

How an LLM-Powered System Streamlined Contract Analysis by 70%

A US-based company founded by former Amazon and Microsoft engineers was developing a SaaS platform for construction and legal teams to streamline contract analysis. They needed to speed up and scale document processing. With the LLM-powered solution we developed, they automated analysis workflows, achieving 70% faster processing and 90% higher accuracy across all document types.

Legal

Generative AI

LLM Analysis Engine

faster document processing speed

higher analysis accuracy

A US-based company founded by former Amazon and Microsoft engineers, providing AI-powered contract analysis and document management solutions for construction and legal teams. Their platform, Brief, helps US clients organize project documents, predict risks, and access critical information instantly—integrating seamlessly with tools like Procore and SharePoint.

OpenAI

Langchain

AWS

Docker

Qdrant

THE CHALLENGE

The Client Faced Slow, Inconsistent Document Reviews While Developing Their SaaS Platform for Contract Analysis

The client was developing a SaaS platform to streamline contract and document analysis for US construction and legal teams. However, their existing manual review process was slow, inconsistent, and difficult to scale, causing delays in client request processing and quality issues.

To enhance their product’s efficiency and value, they needed to integrate an LLM-based solution that could automatically analyze entire document sets, extract key insights, and deliver faster, more reliable results within their SaaS environment.

Model Training and Quality Assurance

Achieving the required accuracy for diverse legal and construction documents demanded multiple training iterations and prompt engineering refinement.

Speed Optimization

The LLM needed to deliver fast analysis results without compromising quality, ensuring seamless integration into the client’s SaaS workflow.

Document Type Differentiation

The system had to correctly identify and analyze different contract types (e.g., NDAs, change orders, project agreements), each requiring unique logic and prompts.

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THE SOLUTION

Implementing an LLM-Powered Engine with Decision-Tree Logic for Automated, Structured Contract Analysis

To address these challenges, we implemented an LLM enhanced with decision-tree logic that applied specific prompts for each contract type. Once a user uploaded a document, the system automatically analyzed it—extracting key details such as NDA clauses, dates, and obligations—and delivered structured insights within seconds.

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For Model Training and Quality

We conducted multiple fine-tuning iterations and testing cycles to achieve consistent, high-quality results across various document types.

For Speed Optimization

Our engineers refined the prompt flow and decision tree architecture, enabling real-time document analysis without performance lag.

For Document Type Differentiation

The LLM was guided by a custom decision tree that mapped document categories to tailored prompt templates, ensuring contextual accuracy for every analysis.

THE RESULT

Achieving 70% Faster Document Analysis and 90% Greater Accuracy Through LLM-Driven Automation

The implementation of the LLM-based analysis engine significantly improved the speed and consistency of document processing within the client’s SaaS platform. By automating contract review workflows and optimizing the decision tree logic, the client achieved measurable efficiency gains and higher end-user satisfaction.

Key Outcomes:

Document analysis speed increased by up to 70%, reducing review time from several minutes to seconds per file.
Accuracy and consistency improved by over 90%, minimizing human error and ensuring reliable insights across document types.
Scalability enhanced — the system now supports batch analysis of large document sets without performance degradation.
Seamless integration with the client’s SaaS product, enabling automated analysis immediately after document upload.

Overall, the solution empowered the client to process more client requests in less time, strengthening the product’s value proposition and positioning it as a next-generation platform for intelligent document analysis.

70%

faster document processing speed

90%

higher analysis accuracy

How an LLM-Powered System Streamlined Contract Analysis by 70%

Steps of providing data scraping services

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs. At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.