Legal Tech

Lawgent: AI tool:
for legal professionals.

The project aimed to streamline internal legal workflows with an AI-powered service that generates documents and explains complex legal terms efficiently.

Project Goal

It also assists employees through a smart chat interface, providing guidance and support to make legal processes faster, clearer, and more accessible.

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We used a tailored tech stack for an internal legal AI service: Python for backend and AI/NLP, React/JavaScript for frontend, and Kubernetes for deployment.

Tech stack

PostgreSQL handles databases, while a custom prompt-engine powers intelligent document generation and chat assistance for a seamless, smart user experience.

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PostgreSQL handles databases, while a custom prompt-engine powers intelligent document generation and chat assistance for a seamless, smart user experience.

Services

Custom Web Development

Tailored web solutions built from scratch to match your business goals, tech stack, and scalability needs.

AI Software Development

We integrate AI features like chatbots, recommendations, and automation to make your product smarter.

ML Software Development

We design and train machine learning models for prediction, classification, and data-driven decisions.

Development Operations

Streamlined DevOps processes to automate delivery, improve reliability, and scale infrastructure.

Quality Assurance

Comprehensive testing to ensure your product is stable, bug-free, and user-ready across all devices.

Business Analysis

We clarify requirements, uncover gaps, and align technical solutions with your business objectives.

Design Development

User-centered UI/UX design that enhances usability, supports brand identity, and drives engagement.

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Prioritizing accuracy from day one, we built a modular AI system that delivers precise documents and clear legal term explanations, transforming internal workflows.

Key Insight

Early design choices minimized risk, optimized performance, and enabled scalable chat assistance, laying a solid foundation for efficient, reliable legal support.

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Project Plan

1. Architectural Planning & AI Design

We designed a modular AI-driven architecture focused on accuracy, detail, and scalability, enabling seamless document generation, legal term explanations, and intelligent chat assistance.

2. Backend & AI Implementation

Our team developed the backend logic and NLP models, integrating prompt-engine design to ensure reliable template creation, contextual understanding, and precise AI outputs.

3. Frontend & UX/UI Design

We created an intuitive interface for employees to generate, edit, and review documents efficiently, interact with the AI assistant, and maintain workflow clarity and compliance.

4. Testing, Optimization & Accuracy Validation

Through iterative testing, we refined document outputs, verified legal term explanations, and ensured the AI maintained precision, reducing errors and improving internal legal processes.

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This screen is the main dashboard of Lawgent, where employees create or review legal documents. It provides access to templates, document history, AI suggestions, and a chat assistant, enabling efficient drafting, editing, and validation while ensuring accuracy and compliance.

Working with Wamisoftware was a great experience. They didn’t just build an AI assistant — they helped us rethink how we work. Lawgent saves hours every week, automates research, and makes our team more efficient. I appreciated their deep understanding of the legal industry and clear communication at every step.

Olivia

Managing Partner at Law Association

Approach

Challenge

The client needed an internal AI service to streamline legal workflows, generate documents, and provide clear explanations of legal terms. Our task was to build a reliable, accurate solution covering backend AI logic, prompt-engine design, and an intuitive frontend for seamless employee interaction.

Solution

We analyzed internal legal workflows to align business needs with technical requirements and, together with the client, defined core features, document flows, and AI-assisted interactions to guide development.

Solution

A modular, AI-driven architecture was designed to ensure precise document generation, reliable legal term explanations, and scalable chat assistance. Prompt-engine integration enhanced contextual understanding, reducing manual work and errors.

Solution

Our cross-functional team of developers, NLP specialists, UX designers, and QA engineers collaborated closely to deliver a system that meets high standards of accuracy, usability, and compliance while remaining flexible for future improvements.

Solution

We implemented an intuitive interface for generating, editing, and reviewing documents, added continuous testing for precision, and set up monitoring to ensure performance and scalability.

Final Solution

Through technical expertise, careful planning, and iterative development, we delivered a scalable, AI-powered internal legal platform. It streamlines document creation, ensures accuracy, and supports employees with intelligent guidance, ready for future growth and evolving company needs.

Teamvoice

Legal teams depend on their tools daily — downtime isn't an inconvenience, it's a blocker. The infrastructure had to hold under real AI workload, and it did.

DevOps Lead

Dmytro

The work was in the gaps — understanding how lawyers actually think about documents, then making sure the AI interactions reflected that logic rather than a simplified version of it. That kind of translation requires time with the actual users, not just the brief.

Business Analyst

Maryna

We built testing protocols that caught issues early because on Lawgent, "good enough" isn't a standard anyone on the team was comfortable with.

QA Lead

Nataly

Solving the next challenge