AI-Based Legal Case Analysis System
$30-250 USD
Betalt ved levering
Project Requirement Document
Objective:
Develop an AI system that processes a new case file in PDF format and provides:
1. A lawyer preparation document (e.g., arguments, precedents, and strategies).
2. A decision prediction (e.g., potential outcomes, legal reasoning).
The system should utilize existing case data for training and inference.
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Data Structure:
The input data is organized in numbered folders containing case-related documents. For example:
• /1/01_case_files/ — Contains the case file (PDF).
• /1/02_lawyer_presentation_document/ — Contains the lawyer's preparation documents (PDF).
• /1/03_Decision/ — Contains the decision (PDF).
• Similarly for /2/, /3/, etc.
The system should process these existing folders to create a knowledge base for retrieval and training.
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Workflow Requirements:
1. PDF Data Processing:
o Extract text from PDFs in 01_case_files, 02_lawyer_presentation_document, and 03_Decision folders.
o Preprocess and clean the text for use in training.
2. Similarity Search:
o When a new case file (PDF) is uploaded, the system should compare it with existing cases to find the most similar cases.
o Use FAISS or another high-performance similarity search tool to index and retrieve similar cases based on embeddings.
3. Embedding Generation:
o Generate vector embeddings for case documents using a suitable AI model such as LangChain embeddings or LLAMA.
4. Model for Output Generation:
o Use an AI model like LLAMA, GPT-3.5, or similar to:
Generate a lawyer preparation document based on the retrieved similar cases.
Provide a predicted decision for the new case based on patterns observed in past cases.
5. Key Outputs:
o A lawyer preparation document tailored to the new case, referencing similar cases and legal strategies.
o A decision prediction based on legal reasoning and retrieved case outcomes.
6. User Interaction:
o Allow users to upload new case PDFs.
o Display or download the generated lawyer preparation document and decision prediction.
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Proposed Technology Stack:
1. Backend:
o LangChain: For embeddings and AI workflow orchestration.
o FAISS: For fast similarity search and retrieval.
o LLAMA/GPT-3.5 or GPT-4: For generating outputs (lawyer preparation and decision).
2. Frontend (Optional):
o A simple web-based UI for uploading PDFs and displaying results.
3. Environment and Deployment:
o Python-based backend.
o Use virtual environments (e.g., venv) for dependency management.
o Cloud-based or local deployment (to be decided).
4. Data Handling:
o Store and process case data securely.
o Ensure compatibility with multiple case folders and their hierarchical structure.
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Expected Deliverables:
1. An end-to-end AI-powered system that:
o Accepts new case PDFs.
o Finds and retrieves similar cases.
o Generates a lawyer preparation document.
o Provides a predicted decision for the new case.
2. A comprehensive deployment plan, including installation and setup instructions.
3. Documentation detailing:
o Code structure.
o Workflow architecture.
o Instructions for adding new data.
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Developer Input Needed:
1. Solution Proposal:
o Suggested AI models, frameworks, and tools for the workflow.
o Optimization strategies for handling large datasets.
2. Budget Estimation:
o Development cost for the complete system.
o Maintenance cost for future updates.
3. Timeframe:
o Expected timeline for development and testing.
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Additional Notes:
This system should be scalable and modular, allowing for future integration with additional AI models or features, such as improved decision predictions or multi-user access.
Projekt ID: #38881774
Om projektet
33 freelancere byder i gennemsnit $314 timen for dette job
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