AI-Powered Web App Development For LegalTech

WebOsmotic built IPLens AI, a patent-based trade secret search platform, through AI-powered web app development, backend development, and frontend development. The build covers an AI extraction model, an analytics dashboard, a secure REST API, and a marketing landing page, delivered as a working MVP.

IPLens AI needed a way to turn dense patent text into trade secret intelligence that patent attorneys and IP researchers could act on. WebOsmotic delivered AI-powered web app development that lets users search by patent number and surface related trade secrets in seconds.
The build covers backend development, frontend development, and an AI extraction model in one connected system. WebOsmotic delivered the Minimum Viable Product (MVP), meeting all specified requirements and giving IPLens AI a scalable foundation to build on.

Industry

LegalTech

Service

App Development AI patent analysis software

AI-Powered Web/App Development

Backend Development

Frontend Development

Technology

Challenges in LegalTech Patent Data Analysis

Deliverables — AI Web App Development Features Built for IPLens AI

Results: Impact of the LegalTech AI Platform

Patent attorneys and IP researchers struggled to quickly identify relevant trade secrets within vast patent texts, which slowed down informed decision-making.
Corporate innovation teams found it difficult to analyse and use trade secret data to drive growth and stay competitive.
The absence of a scalable system to manage patent data led to inefficiencies and wasted resources across the research process.
Extracting insight from patent texts manually was slow and labour-intensive, and left room for human oversight and bias.

Patent number search: a search feature that lets users instantly find related trade secrets by patent number, cutting down research time.
AI-powered extraction model: an AI model that identifies trade secrets within patent text and returns accurate, relevant insights.
Analytics dashboard: a clean dashboard that makes it simple to analyse results and act on trade secret data.
Secure REST API: a REST API that gives secure access to trade secret data for integration with existing systems.
Responsive marketing landing page: a landing page that markets the platform to patent attorneys, IP researchers, and corporate innovation teams across any device.

Helps patent attorneys and IP researchers reduce the time and effort required to identify and analyse trade secrets, supporting greater productivity.
Enables corporate innovation teams to make more informed, data-driven decisions using trade secret intelligence.
The scalable architecture supports large volumes of patent data while reducing costs and improving research efficiency.
Helps users unlock the full value of trade secret data by transforming it into actionable insights and competitive advantage.
Supports stronger intellectual property strategies, improved research outcomes, and long-term business growth for organisations that adopt the platform.

With IPLens AI, patent attorneys and IP researchers cut the time and effort needed to identify and analyse trade secrets, which supports higher research output. The scalable architecture lets teams manage large volumes of patent data without added research overhead. This case study shows what AI-powered web app development looks like end-to-end for a LegalTech product, from discovery to a working MVP.

How much does it cost to build an AI-powered web app like IPLens AI?

An AI-powered web app with an extraction model, dashboard, and REST API typically costs between $25,000 and $70,000 for an MVP, depending on data complexity and integration scope.

How long does it take to build an MVP for a LegalTech AI platform?

A first MVP usually takes 3 to 5 months, covering discovery, AI model development, backend and frontend build, and testing.

Does WebOsmotic build custom AI models for document or patent analysis?

Yes. WebOsmotic builds custom AI extraction and analysis models trained on domain-specific text, including patents, contracts, and other dense legal documents.

Can the platform scale after the MVP stage?

Yes. The REST API and backend architecture are built to support additional data sources, users, and features without a rebuild.

Get a free consultation for your AI web app project, from patent and document analysis tools to full LegalTech platforms. WebOsmotic is an AI development company in India with backend, frontend, and AI model development experience across LegalTech and other data-heavy industries.

AI-Powered Web App Development for LegalTech Companies

Patent-Based Trade Secret Search Platform for IPLens AI — Case Study

AI Web App Development Overview for IPLens AI