This will be the first piece in a series of blog experiments where we will use Transformer-based (BLOOM)/Large Language Models to summarize court cases involving Philippine real estate (sort of like briefing cases) in an attempt to produce easy to digest bits of information to help non-lawyers like ourselves understand the decision of the judges and how they resolved the lawsuit. For us real estate stakeholders (salespersons, brokers, tenants, landlords, homeowners, investors), the court cases can be very important in guiding our actions as the decisions rendered will be used as precedents to provide direction in future legal conflicts.

Furthermore, we will also use deep learning, text-to-image models to generate images to provide visual impact.

Why Do This?

Being dragged in court is a life changer. It inspired me, as a layman/salesman/broker, to read real estate cases to (simply) be familiar with the law and hopefully be wise enough to avoid potential legal problems in the future, both in the line of work and personal life. I am grateful that my wife and I have been blessed with lawyer-friend/s that literally saved our lives and maybe through this experiment, I could pay-forward what we have received.

Disclosure: I Am Not A Lawyer (INAL)

Consult lawyer/s the moment you run into a legal problem. Got scammed? Immediately consult a lawyer. Got involved in a scam? Believe or not… get a lawyer. Anything involving the application or violation of a law? talk to a lawyer.


Nothing. Absolutely Nothing in this post is meant to be legal advise. Consult a lawyer if you need legal advise. This is an experiment using Large Language Models to help laymen/non-lawyers get an idea of cases involving Philippine real estate.

We kick off this experiment with G.R. No. 173088. June 25, 2008 –


You can read the full transcript of the decision here.

The Summary

In simple terms, this Supreme Court decision is about a case involving the Republic of the Philippines and Imperial Credit Corporation.

The corporation wanted to register a piece of land it bought in Antipolo City, but the government opposed it. The court ruled against the corporation because it couldn’t prove that it or the previous owner had been in continuous possession of the land since 1945, which is a requirement for land registration.

The court also said the land couldn’t be registered as private land because it’s presumed to be owned by the government unless proven otherwise. So, the corporation’s application to register the land was dismissed.

The Supreme Court decision highlights several important lessons:

  1. Burden of Proof in Land Registration: One of the key lessons from this decision is the importance of fulfilling the burden of proof when seeking land registration. The burden lies on the applicant to prove continuous, open, and notorious possession of the land since a certain date, as required by law. In this case, the failure to provide sufficient evidence of such possession led to the dismissal of the application.
  2. Presumption of Public Ownership: The decision underscores the legal presumption that lands not clearly proven to be privately owned are considered public domain. Applicants for land registration must provide compelling evidence to overcome this presumption. It’s crucial to establish the status of the land before applying for registration.
  3. Proper Application of Land Laws: The ruling emphasizes the importance of correctly applying land laws and regulations. In this case, the court clarified that the applicant should have applied under specific provisions related to public land registration and not attempted to qualify under different criteria. Understanding and adhering to the appropriate legal procedures is essential in land registration cases.

These lessons serve as a reminder of the strict requirements and procedures involved in land registration cases and the importance of presenting clear and convincing evidence to support such applications.

Ending Note

I hope you found the summary interesting. I’ve read the entire decision and found that the simple summary provided was quite impressive. Even now, as I write this, I could already think of other things to add to improve this experiment. Expect more changes to come in the succeeding blogs.

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