Automated Contract Review That Catches What Humans Miss
Contract review is the single largest consumer of legal hours in most organizations. A typical mid-size Indian company reviews between 200 and 2,000 contracts per year — vendor agreements, employment contracts, NDAs, service level agreements, lease deeds, and licensing arrangements. Each contract requires careful reading to identify risks, verify compliance with internal policies, and ensure alignment with negotiated commercial terms. The problem is not that lawyers cannot do this work — it is that the volume makes thoroughness impossible. When an associate reviews their fifteenth vendor agreement of the week, attention fades, and critical deviations slip through.
Vidhaana's AI Contract Review Engine provides a comprehensive first-pass analysis of any contract within seconds of upload. The engine parses the entire document, identifies every material clause, classifies each clause by type and risk level, and produces a structured review report that highlights exactly where human attention is needed. It does not replace the lawyer — it eliminates the 80% of review time spent on mechanical reading so the lawyer can focus on the 20% that requires judgment, negotiation strategy, and commercial awareness.
Deep Risk Analysis Across 200+ Check Points
The review engine runs each contract through over 200 pre-configured risk checks developed in collaboration with senior legal practitioners across corporate law, commercial contracts, and regulatory compliance. These checks cover indemnity clauses without caps, limitation of liability exclusions that are broader than market standard, termination provisions that lack adequate cure periods, auto-renewal clauses with insufficient notice windows, non-compete restrictions that may be unenforceable under Section 27 of the Indian Contract Act 1872, and intellectual property assignment language that fails to carve out pre-existing IP. The system also flags missing clauses — if a services agreement lacks a data protection addendum required under the DPDP Act 2023, the review engine identifies the gap.
- Clause-level risk classification across indemnity, liability, termination, IP, confidentiality, data protection, dispute resolution, and 40+ additional clause categories
- Playbook comparison checks every clause against your organization's approved positions and flags deviations with specific language references
- Missing clause detection identifies required provisions absent from the contract based on agreement type and applicable regulations
- Commercial term extraction pulls payment schedules, pricing models, SLA metrics, penalty calculations, and renewal terms into a structured summary
- Multi-format support handles PDFs, Word documents, scanned agreements, and even photographed contracts through integrated OCR processing
- Configurable risk thresholds allow different review standards for high-value strategic agreements versus routine operational contracts
Designed for Indian Commercial and Regulatory Context
Generic contract review tools trained primarily on US or UK contracts miss the nuances of Indian commercial agreements. Vidhaana's engine understands stamp duty implications that vary by state — a contract executed in Maharashtra has different stamp duty requirements than one in Karnataka. It recognizes Indian arbitration conventions (specifying the seat, the number of arbitrators, and the applicable rules under the Arbitration and Conciliation Act 1996). It flags GST and TDS implications embedded in payment clauses. For regulated industries, it checks whether the contract includes mandatory provisions required by SEBI, RBI, or IRDAI for outsourcing arrangements, related party transactions, or data processing agreements.
The engine continuously improves from your organization's feedback. When your team accepts a suggested risk flag, it reinforces that pattern. When they dismiss a flag as acceptable for your risk appetite, the system adjusts future scoring accordingly. Over time, the AI becomes calibrated to your specific organizational context — understanding that your company accepts mutual uncapped indemnity for IP infringement but requires a cap for general commercial claims, or that your procurement team has pre-approved certain vendor-friendly termination provisions. This organizational learning is what separates Vidhaana from generic document analysis tools.