Development of Adira AI for Legal Documentation
Aditya Goel
Adira AI
Adira AI by Claw LegalTech Private Limited is a cutting-edge generative AI platform designed to simplify and streamline the process of handling complex legal documentation. With a focus on accuracy, speed, and customization, Adira AI enables corporate houses, law firms, and legal professionals to efficiently draft, analyze, and manage legal documents.
Key Features of Adira AI:
Automated Document Drafting: Adira AI allows users to create comprehensive drafts in minutes. With customizable templates and AI-driven content suggestions, users can draft documents like contracts, agreements, and legal notices without starting from scratch.
Summarization and Analysis: For long, complex documents, Adira AI can generate concise summaries, highlighting key clauses and terms. Its analytical capabilities help identify critical points, making it easier to understand lengthy legal texts and reducing review times significantly.
Rephrasing and Editing: Adira AI offers rephrasing tools that assist in rewriting or refining language, allowing lawyers to modify clauses or tone without compromising the document's legal integrity. This ensures that documents meet specific client or regulatory requirements.
Legal Compliance Checks: The AI identifies potential gaps or inconsistencies in the document, suggesting modifications to align with legal standards and compliance requirements.
Secure Document Storage and Organization: Adira AI includes a secure, organized repository for storing and managing documents, making it easy to access and retrieve information when needed. This centralized storage ensures confidentiality and is useful for team collaborations.
Collaboration and Integration: The platform integrates seamlessly with common document management systems, allowing multiple team members to collaborate on document creation, review, and approval.
Adira AI has a strong commitment to data privacy and security, implementing tailored approaches for B2B and B2C clients:
For B2B Clients:
Unique Encryption-Decryption Key: Each B2B client is assigned a unique encryption-decryption key, which is essential for encrypting and decrypting their documents. This ensures that the data remains entirely confidential, accessible only by the client, and protected from unauthorized access.
No Third-Party Access: All documents stored are fully encrypted and cannot be accessed by any external third parties or even by Claw LegalTech itself, ensuring maximum security and privacy.
For B2C Clients:
Local Storage with Cookies: Documents created by individual B2C users are stored locally on their device using cookies, with no data transmitted to Claw’s database or backend servers. This method ensures that users maintain complete control over their data, with no external storage or access involved.
Backend & AI Engine
Custom LLM Integration: LegalGPT models fine-tuned using LoRA on Indian legal datasets (contracts, case laws, compliance frameworks).
ETL Pipelines:
Built using Apache Airflow, Pandas, and PySpark.
Extract legal data from court judgments, contract templates, PDFs, and Word files.
Normalize, tokenize, and store clause-level data in PostgreSQL and S3 buckets.
Caching & Retrieval:
Live drafts and clause suggestions cached using Redis.
Semantic search powered by FAISS vector store, using Sentence-BERT for embeddings.
Document Generation API:
Served via FastAPI, handles prompts, clause stitching, and suggestion logic.
Integrates fallback to zero-shot generation when no close clauses are found.
Frontend & Collaboration Layer
ReactJS-based Editor: Built using ShadCN with support for:
Real-time clause hiding, clause expansion, and smart auto-fill.
In-line legal annotations and multi-user collaboration.
User Activity Logging:
All user inputs and interactions streamed via Kafka.
Session analytics visualized using Apache Superset.
Export Options: Final documents rendered as DOCX/PDF with metadata using python-docx and WeasyPrint.
Infrastructure & Deployment
Deployment:
Modular containerization with Docker.
Production orchestration using Kubernetes with horizontal scaling for high load.
Security & Access:
RBAC-secured API access.
Supports on-premise deployment for enterprises with full data isolation.
Third-party Integrations:
Webhooks for CRM systems.
Integration-ready with Supabase and internal contract lifecycle tools.
This approach highlights Adira AI's commitment to maintaining data confidentiality and providing clients with total assurance over the privacy of their sensitive information.
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Posted Apr 19, 2025
Developed Adira AI, a generative AI platform for legal documentation.
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Timeline
May 26, 2023 - Feb 19, 2025
