Quantify Legal Risk Instead of Guessing at It
Legal risk has traditionally been assessed through subjective judgment — a senior lawyer reads a contract, considers the commercial context, and forms an opinion about the level of risk. This approach works when one person handles a handful of high-value agreements, but it fails at scale. When an organization manages hundreds or thousands of contracts across different business units, counterparties, and jurisdictions, subjective assessment produces inconsistent results. One reviewer might flag an uncapped indemnity as critical while another treats it as standard commercial practice. The board receives qualitative risk descriptions — "moderate," "acceptable," "concerning" — that mean different things to different people and cannot be aggregated into a portfolio-level risk picture.
Vidhaana's AI Risk Scoring Engine replaces subjectivity with quantitative, consistent, and auditable risk assessment. Every contract, clause, obligation, and regulatory exposure is scored on a numerical scale using transparent criteria that your organization defines and controls. The scoring model considers dozens of risk factors — financial exposure magnitude, counterparty creditworthiness, jurisdictional enforceability, regulatory compliance gaps, obligation complexity, and historical dispute patterns — and produces a composite risk score that enables meaningful comparison and prioritization across the entire portfolio.
How the Scoring Engine Works
The risk scoring process begins at the clause level. Each clause in a contract is evaluated against configurable criteria mapped to your organization's risk appetite. An indemnity clause is scored based on whether it is mutual or one-sided, whether it has a cap and what that cap is relative to the contract value, whether it includes carve-outs for IP infringement or data breach, and whether the survival period extends beyond the agreement term. A limitation of liability clause is scored based on the cap amount, excluded categories of damages, and whether consequential damages are carved in or out. The system evaluates over 200 such parameters across all clause types, producing a clause-level score that rolls up into a contract-level composite score.
- Clause-level scoring across 200+ risk parameters covering financial, legal, operational, and regulatory risk dimensions
- Configurable scoring criteria aligned to your organization's risk appetite — adjust weights, thresholds, and acceptable ranges by contract type
- Portfolio risk heatmaps provide visual representation of risk concentration by counterparty, business unit, contract type, and jurisdiction
- Trend analysis tracks how your portfolio risk score evolves over time, highlighting whether new contracts are improving or degrading risk posture
- Regulatory risk scoring modules for SEBI-regulated entities, RBI-supervised institutions, and DPDP Act compliance obligations
- Automated risk alerts trigger when a contract's score exceeds defined thresholds, requiring senior approval before execution can proceed
Risk Intelligence for Strategic Decision-Making
The real value of quantitative risk scoring emerges at the portfolio level. Vidhaana's risk dashboards show General Counsel and board members exactly where risk is concentrated — which counterparties carry the highest aggregate exposure, which business units consistently enter high-risk arrangements, which contract types generate the most risk flags, and which jurisdictions present enforcement challenges. This intelligence drives strategic decisions: renegotiating the top 20 highest-risk contracts in the portfolio, implementing stricter approval requirements for certain counterparties, or establishing risk-based review tiers where low-risk renewals receive expedited processing while high-risk new agreements get full senior partner review.
For Indian companies navigating complex regulatory environments, the scoring engine incorporates regulatory risk factors specific to the jurisdiction. SEBI-regulated entities receive risk scores that factor in related party transaction thresholds under the LODR Regulations. Banks and NBFCs get scoring that considers RBI's outsourcing guidelines and concentration risk norms. Companies processing personal data receive DPDP Act compliance risk scores based on their data processing agreements, consent mechanisms, and cross-border transfer arrangements. This regulatory dimension transforms the risk score from a contractual metric into a comprehensive business risk indicator that legal, compliance, and business leadership can all use for informed decision-making.
