How to transform work and harness the full potential of your junior talent?

Fujitsu / March 25, 2022

Boring, repetitive work makes it even harder to recruit and retain good people, particularly in legal, financial and professional services. Intelligent document processing can empower employees to take better data-driven decisions, as well as free expensive resources from tasks that add little value and make it hard to recruit and retain the best people.

Freeing your talent from the document mountain

Boring, repetitive work makes it even harder to recruit and retain good people, particularly in financial and professional services. A poll by KPMG found that two-thirds of 1,500 people interviewed said they would not consider working in the financial services sector as the work is, in their eyes, too boring.

Paperwork is the root cause of the perception problem, especially in highly regulated sectors like legal. As per the latest EY/Harvard Law survey, an overwhelming 87% of General Counsels confirm they spend too much time on low-value, routine tasks, and 47% state that the increasing volume of low-value work has impacted employee morale.

Many organizations have automated aspects of document processing in attempts to reduce the admin overload and free up colleagues to spend more time on more compelling, value-adding work. Such an approach can also drive down operating costs and release new funds to attract and retain the very best talent. A new white paper, A New Ally in the Race for Talent, argues they have only scratched the surface, and a whole new level of benefits can be uncovered.

In the age of “the great resignation,” the paper – authored by industry analyst firm PAC –finds that a quarter of organizations in financial services wrestle with staff attrition levels that exceed 20%. At the same time, almost two-thirds see a lack of resources and capacity as a critical barrier to innovation.

This is not a problem restricted to unqualified admin roles. Many young lawyers must read and analyze hundreds or thousands of documents, searching for relevant clauses or cross-referencing facts. Back-office tasks also eat up time, such as transposing information between documents.

The rising tide of challenges that legal teams must address — Brexit, anti-money laundering, IR35, GDPR, MiFID and new demands around environmental, sustainability and governance (ESG) reporting —are all taking their toll. The Association of Corporate Counsel recently claimed that 74% of in-house lawyers are consequently experiencing moderate to very high levels of burnout.

Why Your Automation Strategy is Falling Short

According to the white paper, companies in Western Europe will spend more than €4bn on intelligent process automation software during 2022, with the financial services sector the most significant single industry sector.

But are these investments hitting the mark?

Yes they are – to an extent, says the report. Conventional document process automation solutions based on robotic process automation (RPA) are helping to drive efficiency, improve quality and eliminate bottlenecks by automating the capture, extraction, validation, and processing of relevant data from a variety of document formats.

But these solutions only look at structured and semi-structured documents and cannot relate data to business logic. Until now, intelligent document processing software was not able to apply a higher level of context to the meaning of the data. For example, in a legal document, understanding that “John Smith” is not just a person, but also a defendant’s legal representative.

Likewise, current approaches using optical character recognition (OCR) to convert paper documents into PDF files simply create another source of unstructured data that a business cannot harness directly.

A new approach to work transformation

More than a decade after document processing solutions entered the mainstream, they have evolved to the point where organizations can harness data from unstructured documents — as much as 80% of the data handled by professionals — and apply the specific context and the language of their business and industry.

PAC’s white paper reviews how a major notary association in Europe having to process millions of documents each year created a validation interface to automate the extraction and structuring of key data from handwritten and digital documents. Following that, the next step was to interrogate and understand the data in the same way that was previously performed manually.

It’s an approach that we expect a growing number of organizations will follow to transform work and harness the full potential of the best talent.

Caught in a vice-like imbalance

General Counsels expect legal department workloads to increase by a further 25% over the next three years, while headcounts will rise by just 3%, according to an EY and Harvard law survey.

That sort of vice-like imbalance places demands on business leaders find ways to deliver high-quality outcomes more efficiently – while fundamentally changing the nature of work to prevent professionals from burning out or heading for the exit.

Modern approaches to automation allow companies to unlock a whole new level of value by extending their reach into unstructured data and understanding the context of that data in sufficient detail to apply it to their business domains — thereby releasing professionals from a lot of their daily grind.

So that you can read the analysts’ recommendations for the next steps on this path, Fujitsu has made the white paper available as a free download on the Fujitsu Data Intelligence Webpage.

Oscar Jarabo Diaz-Cardiel
As International Portfolio Manager, Data Intelligence, Fujitsu, Oscar works on developing and using digital technologies as a strategic component to obtain business results. He is responsible for the international portfolio in Data Intelligence, where he oversees the planning, development, and implementation of the strategic offering.
Albert Mercadal Playa
As Head of Data Intelligence Center of Excellence, Fujitsu Global, Albert is responsible for the Data Intelligence practice. In his role, Albert leads several projects around Data Science and Data Solutions technologies for different sectors & markets. Albert has worked in the field of Big Data, Artificial Intelligence and Analytics for over seven years.

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