Sarah Darvell of Trowers & Hamlins considers new ways that technology can help registered providers (RPs) to meet the challenges ahead
In its recent updated guidance, the Investment Association expressed a desire on behalf of capital markets investors that RPs should provide much more data on their assets and liabilities than they do now.
In particular, RPs are encouraged to provide data relating to the value and chargeability not just of the stock being used as security, but also the stock which will not be charged.
This means that it is vital for associations to gather data on all their titles, leases and legal liabilities across their portfolio.
At the same time, the affordable housing sector is facing unprecedented financial challenges.
Taken together, this makes it essential for RPs to leverage the AI and tech-enabled legal solutions that are now available to capture and leverage as much title, lease and legal liability data as they can to maximise their:
How can new technology-enabled solutions help the affordable housing sector?
Back in 2016, the regulator instructed RPs to gather as much asset and liability data as they “proportionately” could.
Thanks to the rapid advance of AI and machine-learning technology, RPs can now capture much more detailed title and legal information much more easily, quickly and “proportionately” than before.
This technology has helped to speed up the extraction of data insights significantly.
What enhanced Land Registry data insights can associations capture now?
By way of example, we are seeing an increase in demand from RPs keen to use technology-augmented legal solutions to help them to quickly capture and organise much more detailed Land Registry title data than before.
This gives these RPs a quicker, clearer overview of all their assets, including rights, covenants, charges and restrictions.
It can help them identify key risk factors more quickly, as well as missed value uplift opportunities. It also helps to give RPs and their investors a much more thorough understanding and oversight of the RP’s assets.
What sort of legal insights can associations capture now?
Just as AI and machine-learning are helping associations to understand their assets in more detail, it is also helping them to understand their liabilities better, too.
Associations have vast quantities of unstructured data contained in leases and other contracts which can be extracted much more quickly with the benefit of machine-learning solutions than was previously possible.
We are also seeing an increase in demand from RPs keen to take advantage of these opportunities to capture and organise more title, lease and legal data within their assets and liabilities registers than they have previously had ready access to.
For example, we are acting for a number of clients on large-scale, AI-supported lease reviews, using AI that we have trained.
This has helped the RP understand the extent of its liabilities and identify accountable persons and duty holders under the new Building Safety Act, among other health and safety risks.
Given the vast numbers of documents involved, undertaking a manual review on this scale would probably have been seen as much too onerous or expensive just six years ago.
This is just one example. RPs can now also look to much more easily identify or understand:
Revenue opportunities and payment liabilities
Property-related liabilities
Opportunities for value uplifts
Banking
In the current financial climate, RPs should consider the types of title, lease and legal insights which their own organisation would benefit from having easier access to.
Such insights may now be much more readily available than ever before and may help them to make more informed business decisions, to improve regulatory compliance and to increase their attractiveness to investors.
Sarah Darvell, managing associate, real estate finance security, Trowers and Hamlins
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