Articles and legal commentary on Business Transactions from Sarhan Data Law.
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Standard tech diligence assumes the target's core asset is code. With an AI company, you're buying data rights — and most of them are undocumented. The five workstreams that surface what you actually own.
Read more →PIPEDA's s. 7.2 business-transaction exception lets customer data move with a deal — but its conditions are more constrained than most deal teams assume. The diligence that protects value.
Read more →The standard data room gets you through legal and financial review. AI-era acquirers ask for a second layer: training-data provenance, model dependencies, and governance artifacts most startups don't have.
Read more →Before you can rely on an AI model's outputs, you need to know where its training data came from. Here's how to review chain-of-title across licensed, scraped, customer, and synthetic data.
Read more →The companies that break through enterprise sales are the ones that anticipated what enterprise buyers would ask for and have reduced the friction to yes.
Read more →British Columbia’s tech ecosystem is thriving. With this energy comes a new wave of ambition: visionary investors and operators are looking to launch their own venture capital funds to back the next generation of innovators. But before the first investment is made, a fund’s founders face a critical strategic decision that will define their fundraising, investment strategy, and operational reality. In B.C., there are two primary paths for structuring a venture fund: the traditional, flexible Lim
Read more →Integrating AI? Your contracts are critical. Standard agreements fall short. Focus on clarifying data ownership, controlling model training permissions, defining liability, and ensuring compliance. Get strategic insights. Read more...
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