AlgoAudit: M&A Tech Asset & AI Risk Intelligence Suite

In Tier-1 corporate deal flow, reviewing target technical disclosures for algorithmic liability and open-source contamination takes dozens of manual billable hours. This bottleneck creates significant risks around unconsented data ingestion and copyleft license leaks that destroy transaction value.

AlgoAudit bridges the gap between theoretical IPR policy frameworks and actionable deal execution. It is a specialized legaltech engine that ingests target technical schedules and dynamically audits them against Section 6 and 8 compliance gaps under the DPDP Act 2023, as well as viral copyleft (AGPL/GPL) IP leaks. Instead of just flagging these liabilities, the tool instantly converts the vulnerabilities into execution-ready Share Purchase Agreement (SPA) indemnities and Conditions Precedent to aggressively protect the acquirer.

Algorithmic Governance Auditor: Scans technical schedules to identify black-box model liabilities and DPDP Act 2023 compliance gaps in training datasets.

Open-Source IP Contamination Scanner: Identifies viral copyleft licenses (e.g., GPL, AGPL) linked to proprietary codebases.

Automated SPA Clause Generation: Dynamically drafts highly tailored, buyer-friendly specific indemnities and representations/warranties based on the exact vulnerabilities flagged during the scan.

Client-Side Processing: Executes entirely within the browser for rapid, secure evaluation of dummy target disclosures without relying on external API backends.

Looking for feedback from corporate M&A practitioners and in-house counsel on expanding our statutory rules engine (specifically covering cross-border transfer notifications under DPDP Act rules and sector-specific SEBI algorithmic guidance). Also open to collaborating with legal engineers interested in integrating native document parsers and expanding our automated SPA indemnity and warranty templates.