12 | 12 | 2023

The Deal That Almost Slipped: How AI Spotted Red Flags Before a Costly Licensing Agreement

Licensing at the Edge: How One Pharma Firm Dodged $30M in Liabilities Using AI | Case Study

With time ticking and a multi-million-dollar licensing deal on the line, a pharmaceutical firm faced a critical challenge—rapidly reviewing thousands of pages of clinical, technical, and regulatory data tied to a late-stage therapeutic asset. A wrong move could cost not only money, but market credibility.

Rather than scrambling through dense PDFs, the due diligence team turned to aiMDC, tasking it with analysing over 10 lengthy documents (each 500+ pages). The AI didn’t just summarise; it flagged discrepancies between trial outcomes and regulatory claims, and highlighted gaps in post-market risk disclosures.

Within 72 hours, red flags were escalated to leadership, helping them renegotiate terms and ultimately avoid a deal that could have triggered over $30M in liabilities. What could’ve taken three weeks took three days—without sacrificing accuracy.

Client

A mid-sized biopharma company evaluating a licensing agreement for a late-phase oncology treatment

Environment

10+ long-format technical documents—clinical trials, CMC reports, regulatory filings—each over 500 pages, under tight timelines

Objective

Accelerate the due diligence process without missing critical red flags or exposing the firm to hidden risk

What was done

aiMDC scanned, interpreted, and summarized key sections across all documents, flagged data discrepancies, and generated source-backed risk reports for the executive team

Achievement

The firm avoided a potentially disastrous licensing agreement by uncovering data inconsistencies and underreported safety concerns buried deep in technical documents. aiMDC slashed review time by 80%, empowered the legal and scientific teams with transparent, reference-linked insights, and helped leadership walk away from a high-risk deal. The speed and clarity delivered by AI didn’t just save time—it saved the company from a reputational and financial fallout estimated to exceed $30 million.

What happens next…
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