Faster Review
First-pass contract review drops from hours to minutes.
KriraAI builds custom AI for contract and legal intelligence: AI contract review, clause extraction, risk analysis and legal AI assistants engineered around your playbooks, documents and workflows. With 5+ years of AI and software delivery, 100+ projects delivered and an in-house AI research team, we turn manual contract work into secure, production-ready AI systems that can run on your own infrastructure.
Most businesses manage hundreds or thousands of contracts: NDAs, vendor agreements, employment contracts, leases and partnership deals. Reviewing them by hand creates the same problems again and again:
Slow turnaround
Lawyers spend hours reading standard agreements line by line, which delays deals and sales cycles.
Missed clauses
Auto-renewals, indemnities, liability caps and termination rights get overlooked.
Compliance risk
Contracts that break regulatory or internal policy rules go unnoticed.
Lost obligations
Renewal dates, payment terms and deliverables stay buried in PDFs.
High costs
Outside counsel fees and manual review hours add up quickly.
Traditional contract review software stores documents but does not understand them. That is the gap legal AI fills.
Contract intelligence is the use of artificial intelligence, specifically natural language processing (NLP) and large language models (LLMs), to understand what contract language means rather than just storing the files.
KriraAI builds contract intelligence systems using retrieval-augmented generation (RAG), fine-tuned domain-specific LLMs and agentic AI workflows. Each system identifies clause types, compares them against your legal playbook, scores risk and turns unstructured contracts into searchable, structured data. Unlike off-the-shelf contract review software, it is built around your contract types, policies and existing tools, and your lawyers always make the final decision.
First-pass contract review drops from hours to minutes.
Every contract is checked against the same standards and playbook.
Missed clauses and non-compliant terms are caught early.
Less dependence on outside counsel for routine review.
Searchable contract intelligence across your entire portfolio.
Handle volume spikes without hiring.
NDA review and approval
Vendor and supplier contract analysis
Employment and contractor agreement review
M&A and investment due diligence
Lease and real estate contract abstraction
Regulatory compliance audits
Legacy contract migration and repository cleanup
100+ enterprise and startup projects delivered for clients across India, the USA and global markets.
Our researchers continuously test new models, RAG architectures, fine-tuning and hallucination-reduction techniques, so your legal AI is built on what works today.
We engineer the solution around your contract types, playbooks and workflows instead of repackaging a generic tool.
Your contracts can stay entirely inside your own infrastructure, with zero external data exposure.
Agentic AI, RAG pipelines, fine-tuned LLMs, LangGraph, CrewAI and MCP, on AWS, Google Cloud, Azure or your own servers.
Every AI recommendation comes with an explanation and a link to its source clause.
Clear, time-zone-aligned communication for teams in India, the USA and worldwide.
100+ enterprise and startup projects delivered for clients across India, the USA and global markets.
KriraAI has already built secure document intelligence and automated review systems that apply directly to contract and legal work.

Built entirely inside the client's own infrastructure, the system grounds every answer in verified internal documents instead of open internet knowledge.

How automated auditing replaced a five-specialist manual review chain for India's fastest-growing Ed-Tech publisher.
KriraAI delivers AI contract and legal intelligence projects in five steps, typically within 4 to 16 weeks from discovery to deployment.
We were mainly concerned about AI accuracy for our use case. After testing, the solution achieved around 98% accuracy on our evaluated workflow. KriraAI also worked closely with us during testing and fine-tuning, which made a big difference.
Prashant Gupta
Working with KriraAI from another country was surprisingly smooth. The team communicated clearly, understood our requirements without too much back and forth, and was comfortable working across time zones. The quality of the AI development was exactly what we were looking for.
Alexander Weber
The technical knowledge of the KriraAI team was probably the best part of the project. We could discuss AI models, APIs, data, architecture, integrations, and deployment with the same team. They were able to explain technical decisions clearly without making things unnecessarily complicated.
Rohan Shah
KriraAI delivered a custom AI solution that matched our business requirements well. From AI architecture and development to integration and deployment, the team handled the project professionally. We particularly appreciated their focus on reliability, scalability, and making the technology useful for our actual business.
William Harris
I'll be honest, I wasn't sure any team could really handle the technical complexity of our customer support workflow. KriraAI proved me wrong. They took the time to understand our process, built a solution that fit our actual needs, and tested it thoroughly before going live. The result was about a 30% improvement in processing time, but what impressed me more was how accurate and reliable it was from day one. My concerns about technical skill turned out to be completely unfounded.
Roshan Patel
AI for contract and legal intelligence is the use of artificial intelligence to review, analyze, draft and manage contracts and legal documents. It reads contract language, extracts key terms, flags risks and tracks obligations, turning unstructured legal documents into structured, searchable data.
AI reviews contracts using natural language processing and large language models. It reads each clause, identifies its type, compares it with your standard positions, and flags missing, risky or non-standard terms. A lawyer then reviews the AI's findings and makes the final decision.
AI contract review is highly accurate for identifying standard clauses, extracting data and spotting deviations, especially when trained on your own playbook. It works best with human oversight: the AI handles first-pass review at speed, and lawyers verify complex or high-value judgments.
Yes, when it is deployed correctly. KriraAI can deploy legal AI fully on-premise or in your private cloud, so confidential contracts never leave your infrastructure. Our secure document AI for the Indian Navy runs entirely inside the client's own systems with zero external data exposure.
Contract lifecycle management software manages a contract from start to finish: request, drafting, negotiation, approval, signature, storage, renewal and expiry. AI-powered CLM adds automated review, clause extraction, risk scoring and obligation alerts at each stage.
Yes. AI contract drafting tools create first drafts of NDAs, service agreements and other standard contracts from approved templates and clause libraries. A lawyer should always review AI-drafted contracts before signing, especially for complex or high-value deals.
Traditional contract review software stores and organizes documents, and relies on keyword search. Legal AI understands the meaning of contract language. It can identify clauses written in different wording, assess risk, answer questions in plain language and suggest edits.
No. AI does not replace lawyers; it removes repetitive work such as first-pass review, data extraction and deadline tracking. Lawyers stay responsible for legal judgment, negotiation strategy and final approval, and gain more time for high-value work.
Yes. AI checks contracts against regulatory requirements such as GDPR and internal policies, and flags non-compliant terms. In due diligence for M&A or investments, AI reviews large volumes of documents quickly and highlights change-of-control clauses, assignment limits and unusual liabilities.
Most KriraAI projects take 4 to 16 weeks from discovery to deployment, depending on contract volume, integrations and customization. A typical rollout covers an AI readiness assessment, solution architecture, training on your contracts and playbook, integration with your existing systems and ongoing optimization.