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AI-Powered Legal Case Intelligence Platform

An AI Legal Case intelligent LegalTech SaaS platform combining AI-driven case analysis, document intelligence, and RAG-powered insights to help legal professionals organize evidence and evaluate case strategy.

Overview

CaseAtlas is an AI-powered legal case intelligence platform designed to help attorneys organize case information, analyze evidence, identify strategic gaps, and generate structured legal insights. Built with Next.js, TypeScript, Firebase, OpenAI, Claude, and Gemini, the platform combines document ingestion, Retrieval Augmented Generation (RAG), semantic search, case timelines, and AI-assisted analysis. Clerk authentication, Stripe subscriptions, and credit-based usage controls support account management, billing, and resource-intensive AI workflows.
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AI Legal Case

Problem Statement

Complex Legal Documents and Evidence

Large volumes of case files and supporting documents make it difficult to locate relevant evidence, organize information, and extract meaningful insights efficiently.

Fragmented Case Information

Important events, evidence, liability details, and damages information need a structured workspace to support a clearer understanding of each legal matter.

Limited Context for AI Analysis

Long case documents require relevant context retrieval and flexible AI model integration to support focused analysis without relying exclusively on full-document prompts.

Managing AI Usage and Operating Costs

AI inference and document processing introduce variable costs, requiring subscription billing, usage credits, and pre-request checks to manage resource consumption.

Solution Statement

RAG-Powered Legal Document Intelligence

Integrated Unstructured and Ragie to parse documents, prepare content for retrieval, index information, and supply relevant passages to AI models for case analysis.

Structured Case Analysis Workflows

Developed AI-assisted workflows for case summaries, evidence review, liability and damages analysis, strategic gap identification, and valuation considerations.

Multi-Provider AI Integration

Integrated OpenAI, Claude, and Gemini through a configurable AI layer, allowing model selection to adapt to task requirements and provider capabilities.

Secure Accounts and Usage-Based Billing

Combined Clerk authentication, Firebase services, Stripe subscriptions, and credit metering to connect user accounts with document access and AI resource consumption.

Features

  • AI-Powered Case Analysis: Generate structured insights from case information and supporting evidence.
  • RAG-Based Document Retrieval: Retrieve relevant passages from indexed case documents.
  • Multi-Model AI Integration: Connect OpenAI, Claude, and Gemini through a configurable AI layer.
  • Case Summaries and Strategic Insights: Support evidence review, gap identification, and case-strength analysis.
  • Case Timelines: Organize dated events and case information chronologically.

Benifits

  • More Organized Case Information: Bring matter details, evidence, and timelines into a structured workspace.
  • Faster Document Discovery: Retrieve relevant information from lengthy case materials through semantic search.
  • Context-Aware AI Assistance: Ground generated insights in retrieved case documents and structured matter data.
  • Flexible AI Capabilities: Support different model providers as task requirements and model capabilities evolve.
  • Better Usage Visibility: Track AI and document-processing consumption through credit-based controls.

About Techticks

Techticks delivers digital innovative solutions, including web and mobile apps, Ai integrations, and scalable systems. We help businesses grow, improve performance, and solve real-world challenges with secure, future-ready technology.

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