You will get AI-Enabled Legal Intelligence System for Law Firms
Project details
We developed a self-hosted, AI-driven solution tailored for large law firms aiming to streamline legal operations, accelerate paralegal workflows, and eliminate reliance on costly and potentially insecure third-party SaaS platforms.
The system processes and analyzes legal documents, summarizes case law and statutes, and deeply integrates with the firm's internal infrastructure, ensuring the highest standards of data protection and compliance.
The system processes and analyzes legal documents, summarizes case law and statutes, and deeply integrates with the firm's internal infrastructure, ensuring the highest standards of data protection and compliance.
AI Development Type
Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Amazon SageMakerAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$25,000
|
Standard
$40,000
|
Advanced
$50,000
|
|---|---|---|---|
| Delivery Time | 25 days | 50 days | 70 days |
Number of Revisions | 3 | 3 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | |||
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$1,000About Alex
AI expert, ML architect, DataScientist, CTO
Barcelona, Spain - 12:08 pm local time
As a Machine Learning specialist, I design, build, and deploy intelligent systems powered by advanced language models and retrieval-augmented generation (RAG) architectures. I help businesses unlock the full potential of AI by delivering tailored, context-aware solutions that go far beyond simple prompt-and-response applications.
Whether you're building a domain-specific assistant, automating knowledge workflows, or integrating OpenAI/GPT-based intelligence into your platform, I bring the technical precision and creative problem-solving needed to make it a success.
My core skill set includes:
- LLM Integration & Orchestration: OpenAI (GPT-4/4o), Claude, Mistral, custom fine-tuned models
- RAG Architecture Design: Using LangChain, LlamaIndex, or custom pipelines to augment LLMs with real-time, context-rich retrieval
- Vector Database Expertise: FAISS, Pinecone, Weaviate, Chroma, Qdrant – optimized for speed, scale, and relevance
- Prompt Engineering: Systematic design of prompt templates, chaining logic, and context injection
- Data Processing & NLP: Text cleaning, embeddings generation, summarization, document parsing (PDF, HTML, image-based input)
- Cloud & Backend Integration: GCP, AWS, Docker, FastAPI, Firebase, serverless microservices
- Evaluation & Optimization: Model performance tuning, latency reduction, cost-aware inference strategies
If you're looking for a hands-on expert who can architect robust, scalable AI features and deliver them as clean, production-grade solutions, I’d be glad to discuss how I can support your vision.
Let’s connect to explore your use case and outline a smart AI roadmap that gets results!
Steps for completing your project
After purchasing the project, send requirements so Alex can start the project.
Delivery time starts when Alex receives requirements from you.
Alex works on your project following the steps below.
Revisions may occur after the delivery date.
Delivery stage
We deliver the assistant. Making demo. Checking due to acceptance criteria. Training staff how to deal with it.