REZINX
Transparent AI Solutions
Contract Review & Document AI
We build custom AI systems for law firms and legal teams, from contract review and RAG-powered legal research to LangGraph workflow agents and compliance monitoring. Built with LangChain, Hugging Face, and Qdrant.
Capabilities
Every system is designed to reduce attorney time on routine tasks while maintaining accuracy, auditability, and professional standards.
NLP systems that review contracts, extract key clauses, identify obligations and deadlines, flag unusual terms, and classify document types. Uses LangChain with Hugging Face models fine-tuned on legal text. Reduces review time by 70–80%.
RAG-powered research assistant trained on your case files, precedents, statutes, and internal knowledge base. Attorneys get instant, cited answers from your actual legal documents, not generic LLM responses. Built with LangChain and Qdrant.
LangGraph agents that automate multi-step legal workflows, contract intake, term extraction, compliance checking, issue flagging, and attorney routing. Eliminates manual triage and ensures consistent processing across all documents.
AI systems that monitor regulatory changes, cross-reference your existing contracts and policies, and flag compliance gaps automatically. Keeps your legal team ahead of regulatory changes without manual monitoring.
LangGraph agents that handle client intake, gathering case details, qualifying matters, collecting documents, and scheduling consultations. Runs 24/7 and ensures every potential client gets an immediate, professional response.
Bulk document processing pipelines for M&A due diligence, regulatory audits, and litigation support. Classifies document types, extracts structured data, identifies parties and dates, and flags items requiring attorney review.
Enterprise Security
We integrate private, secure language models directly into your legal workflow environment, ensuring that client secrets and contract metrics never leave your firewall parameters.
Our legal tech integrations run on LangChain and LangGraph for routing orchestration, Qdrant for semantic database queries, and private model instances hosted under complete server sovereignty.
Private nodes running within your own local parameters or VPC environments.
Dynamic context verification models with source citation checks before responses render.
Complete traceability for every term flagged, clause extracted, or precedent retrieved.
Direct API loops into your existing document management systems (DMS) like iManage or NetDocuments.
We ensure absolute data isolation by hosting private LLM sandboxes on your local servers or dedicated private virtual clouds (AWS/Azure). Your data is encrypted in transit and at rest, and is never used to train external models.
Our system uses fine-tuned models that can be customized to your specific playbooks. It can identify custom liability caps, indemnification exceptions, payment triggers, or any tailored obligations defined by your firm.
Our schema validation and self-correcting pipelines ensure high extraction accuracy (over 99.9% on standard contracts). Any low-confidence terms are automatically routed to a dedicated attorney queue for review.
Our data pipelines automatically convert PDFs, docx, emails, and scanned court filings into clean structured text before embedding them into Qdrant, ensuring that search queries return accurate references across all formats.
A custom compliance agent tailored to your regulatory environment typically takes 6 to 10 weeks to build, test, and integrate with your internal workflow systems.
Ready to automate your legal review and search workflows? Book a free consultation with our AI architects to discuss custom models and security setups.
Book a Free Legal Consultation