In my view the world is now significantly more advanced than it was 10 years ago making OSCRE a necessity.
1 What is OSCRE?
OSCRE stands for Open Standards Consortium for Real Estate but this does not describe what it is. It is a universal language intended to allow real estate systems to "speak" to each other. The ultimate goal is to enable the inputting of data only once and for that data then to be able to be re-used in different systems in the real estate world.
2 What happens currently?
Let's consider a simple property leasing transaction. The steps are as follows:
a) The agents agree heads of terms and send a hard copy to the relevant solicitor
b) The solicitors draft the various documentation and following some negotiation it is finalised
c) Both solicitors will produce word based reports to their clients setting out the final agreed terms and seeking execution
d) The documents are executed and then completion occurs
e) Various SDLT (tax) and Land Registry forms are prepared and sent to the relevant authorities
f) Both solicitors will prepare a report for the asset management teams at landlord and tenant providing detailed information on the lease
g) The asset manager will input the information received from the solicitors onto their systems
3 What could happen?
Taking the same transaction:
a) The heads of terms are sent as data (a wordy version can be created as well)
b) The initial draft lease is created automatically from that data and issued
c) The documents are negotiated and agreed
d) One solicitor updates the data reflecting the agreed terms and the other checks and approves it
e) Both solicitors generate automatic signing request forms to their clients using the data and the matter completes
f) The SDLT and Land Registry forms are gnerated automatically
g) The information required by the asset manager is sent automatically
Is there a difference?
One simply needs to consider the above two lists to realise that the reference to "automatic" pervasive in the "What could happen?" scenario means two things:
- Efficiency and thus cost savings
- Reduced risk of data corruption