What will case management software look like in the year 2030?

Introduction

The average lifespan of a case management system is 10 years.

This article explores some of the themes that are either emerging now or are likely to emerge over the next 5-10 years and takes a brief look at what a Case and Matter management system might look like in 10 years’ time.

10 years carries significance for a couple of reasons:

Agricultural Age: 4000 – 1700 AD

Industrial Age: 1700 AD – 1960 AD

Information Age: 1960 AD – 2030 AD

Knowledge Age: 2030 AD – ???

Firstly it’s the end of what a lot of people call the information age and the start of the next age which is called a variety of things such as Knowledge, Reckoning or the like.

Learning CMS Systems

Workflow by Example

So the CMS of 2030 will I believe address one of my personal pet hates; the process of converting process maps into workflow systems.

Like many business analysts I’ve spent a good chunk of my career analysing a mountain of process maps… and then spent another good chunk of my career converting them into workflow models.

Now there are a number of problems to this approach

  1. Firstly it takes a lot of time … things get lost in translation .. processes change in the time it takes us to implement them
  2.  Secondly people don’t fundamentally follow process charts

Our CMS of 2030 will learn these by observation and suggest the optimum “standardised processes”. This in turn will significantly reduce the effort that is required to implement these sort of processes. Likewise by designing more and more processes around adaptive case management methods users will be given more and more freedom to quickly step outside of the process.

Data Driven Decisions

So whilst solving the workflow problem is a reasonable sized problem to address the same techniques will also be applied to other similar questions. And hence the CMS of 2030 will enable us to quickly answer questions such as:

  • “How long will this case take?”
  • “How much will this case cost?”

The net result is that we will be more accurate in the management of ad-hoc work and much of the “routine” will be implemented from case processes.

Addressing information overload

Both in our day to day life and our business life we are bombarded by information… and everyone’s information is always more important than others!

A case or matter management system is no different and users can quickly be overloaded by “noise”. They become desensitised to it and the information becomes worthless.

Today we allow user to change the frequency of these notifications. So for example they can “turn down the noise” to only receive approval notifications once a week.

But the CMS of 2030 will solve these problems, understand the concept of “pertinent information” and hence the information we receive will become meaningful rather than noise to be ignored.

[Editor note: whilst this is a conceptually easy problem to understand its significantly harder to solve!]

Designing for People and Machines

Case Management systems collect a huge amount of complex structured and structured information .. Information that through its sheer volumes can again become “overloaded”.

So we’re pretty proud of our Case Management UX at Sharedo – its designed for people to complete ad-hoc workflows as they go through their journeys (we call these “blades”).

That said from a product perspective we consider ourselves part way through the journey from a traditional GUI to what is termed a NUI or Natural User Interface.

However I’m equally certain that the UX of the CMS of 2030 is going to change significantly even from where ShareDo is today. Analysts talk about the next evolution beyond NUI as being Organic User Interfaces … personally I’m slightly cynical as to whether the bulk of case handlers will be wearing VR headsets and manipulating files in a 3 dimensional space in 10 years but I could well be wrong.

That said I do think what we will start seeing is the integration of chat bots together with almost a retro “command line interface” into case systems.

We’re starting to experiment with similar styles of interaction to that seen in applications like slack.

In this world the primary case view would be your case history and from there you will be able to perform any action quickly.

This is an interface that we will gradually start to see evolving into a more natural language style of UX.

As the desire to automate more and more activities progresses so will the need increased need for case systems to also be designed to be machine centric.

In common with most modern case and matter management applications we design ShareDo API First.

API First essentially means two things:

  1. We start by designing the API by which data and behaviour can be consumed.
  2. And then layer on any required user interface components

What this means in practice is that every single interaction that can be completed through the UI can also be completed via a machine to machine call; whether that is configuring a document or entering matter data.

That said I think the case systems of the future need to be more sophisticated than this however and will be able to support dynamic supply chains where different elements of the case lifecycle are provided by a different organisation.

Saying goodbye to valueless data entry

I think we have all done a reasonable large amount of valueless data entry in our careers to date.… and as someone who has spent a considerable time designing complex data entry forms I am only too aware of:

  • how much of this data is duplicated
  • how little the majority of users care about this “gold”
  • … and hence how the existing model for data entry is currently far from optimal

So whilst we move towards more machine to machine CMS integration much of this effort will be eased, the CMS of 2030 will be significantly more sophisticated in the way in which it extracts data from textual documents using sentiment style analysis. For example we will take information from the likes of medical reports and turn these into structured data more easily.

Today we are broadly solving these challenges using:

  • Brute force algorithms that require a huge amount of time and data to train
  • Or by throwing cheap resource at the problem
  • Or indeed deploying an army of python developers etc

The CMS of 2030 will be deploying entirely more sophisticated algorithms at this problem set and hence reduce “valueless data entry”

Automating the activity not the role

As we squeeze the last few drops out of big data and lean six sigma…we will be automating the activity (but not the role!)

So over the course of the next 10 years we will be gradually be removing friction and non value added activities from human involvement with our CMS.

There is a quote from someone at the London Business school that describes this process as, and I paraphrase, as “… squeezing the last drops of juice from the oranges that are Lean Six Sigma and Big Data.”

And hence for many processes using our CMS of 2030 our job will be to manage transactions by exception.

But for the majority of processes; using the CMS of 2030 will make I believe the working life of our users a much more positive thing. With the CMS removing much of the “mundane” we can focus on being more human which has to be a good thing.

Clinical Negligence Cases – The Democratisation of Data Analytics for Effective Decision Making

The challenge

Each year the NHS receives more than 10,000 new claims for compensation. Current estimates, obtained from a recent Freedom of Information Request by the BBC, put the total costs of outstanding claims at £83bn, with associated legal fees estimated to be in the region of £4.3bn. This trend of increasing claim numbers and higher value settlements is putting more pressure on the NHS budget. In fact, the cost of outstanding claims equates to over 65% of NHS England’s total budget for 2018-19.

In today’s climate of socio-economic disruptions and high demand for NHS services, the pressure on public services to perform under heavy budget cuts is ultimately putting a huge strain on the NHS.

alls for Reform

The current system of clinical negligence claims has been heavily criticised by many as complex, inequitable, protracted and expensive, with a general lack of clarity regarding the difference between gross medical negligence and ordinary human error in medical practice. In addition to calls for justice reform, the Department of Health has pledged to tackle “the unsustainable rise in the cost of clinical negligence” and here at ShareDo, we strongly believe there are significant opportunities to reduce costs, improve efficiencies, and optimise service delivery through the adoption of an intelligent, collaborative work management systems such as ShareDo.

Reducing the Complexity Burden

ShareDo’s primary aim is to reduce the complexity burden through intelligent case management that is all about changing the very fundamentals of how we work effectively; how we visualise work, share it, transport it, track and ultimately integrate it within new frameworks of collaboration. At its core, ShareDo streamlines, automates, and accelerates case processes through rich, secure collaboration spaces, intelligent data capture and information storage, whilst empowering data-driven-decision-making through machine learning and predictive analytics in context.

Democratisation of Data in Decision Making

There has never been a more interesting time with respect to the world of data and its pivotal role in this new world digital economy. Here at ShareDo, we believe that by democratising and leveraging the wealth of digital insights available at your fingertips, ShareDo business analytics makes it’s possible to make more informed decisions that will lead to commercial growth, evolution, and an increased bottom line. The democratisation of data through ShareDo analytics breaks down information silos and enables a new breed of data exploration to evolve, known as data-driven-decision support with predictive analytics, which is concerned with the prediction of future probabilities and trends.  The central element is the predictive model, which can be trained over your data, learning from the complete experience of your organisation within hours.  As a result, legal professionals can now benefit from real-time data-driven-decision making (DDDM), where intuition is supported by empirical evidence, to achieve unbiased, accurate and repeatable outcomes.

Analytics in Context

Data driven decision making (DDDM) is a process that involves collecting data based on measurable KPIs in context, analysing and presenting patterns and facts from these insights, and utilising them to develop strategies and actions that benefit both you and your client.

By delivering analytics in the context of work activities, ShareDo empowers legal professionals, without technical expertise, to analyse and extract insights to inform decisions throughout clinical negligence case journey. Critical insights that can support you and your client to:

PREDICT & FORECAST
Accurate forecasting of timescales, quantum and settlement outcomes
Accurately project compensation fund release through predictive settlements;

ANALYSE & TRACK
Real-time analysis of reserving accuracy, budgets and costs tracking;
Manage and track reserve accuracy through reserve predictions, benchmarking and tracking;
Guard against any unconscious biases with empirical evidence to underpin expertise

IMPACT & ACTIONS
Data-driven decisions with insights that go beyond the dashboard;
Utilise real-time negotiation analytics and know-your-opponent data within the offer process for improved settlements.

It is at this current juncture where business intelligence ceases to be a “technology task” practiced by the few, but seamlessly interwoven into everyday processes and back into the control of the users that understand the data the most.

The Path to Success

It is understood that while data-driven-decision-making through predictive analytics itself is a new and emerging category of software, the business drivers behind it are not, and in order to be successful, law firms will need to move quickly to keep abreast of the changes, reshaping structure, systems, and the method of delivery of legal services.

By embedding data analytics into the central clinical negligence case journey, firms can streamline internal business processes, identify unfolding trends, interpret and monitor emerging risks, and build mechanisms for constant feedback, forecasting and service improvement to their clients. Ultimately, businesses that deliver usable analytical solutions outperform their peers financially by 20% [source Gartner]. Driving analytics into everyday decision support will thereby enable you to gain competitive edge and stay at the forefront of digital disruption.

How to Thrive as a Tech Savvy Law Firm

The State of legal technolgoy in 2019

Technology continues to move at an alarming rate, things we were only dreaming about in 2017, started to materialise in 2018 and will only continue to develop as we move forward into 2019.

But how will advancements in technology affect the legal sector?

Increasingly, firms are recognising the importance of adopting and investing in technology in order to effectively compete in today’s market. Clients are also continuing to demand greater engagement with technology, and in many ways, the traditional law firm model is falling behind expectations of the service industry generally.

This year’s study by Deloitte suggests that technology is already leading to job losses in the UK legal sector. The fact that 114,000 jobs could be automated in 20 years’ time, law firms can’t afford not to take notice of the impact technology is having and will continue to have on the legal sector. Despite the bleak tone of such information, law firms should think of it as an opportunity to innovate and provide an indispensable service for clients.

In our relatively short time in the legal market, we are already seeing significant changes within law firms as they move from firms with limited automation and outsourcing to ones that embrace end to end automation and legal project management

ShareDo’s case management, automation, and ultimately digital transformation give firms the opportunity to interact with their client in new and exciting ways while improving efficiency and job satisfaction.

The question is no longer “should you be a tech-savvy law firm” but rather, “how can you make technology our competitive advantage against both peer and larger firms?”

How does Tech Help your Legal Practice?

As legal professionals, we’re no longer strangers to the time-saving benefits of technology in the workplace. Look at how typewriters, then personal computers, then email, and now cloud-based software has dramatically improved productivity at law firms.

With more software solutions coming online to save time and increase efficiency, the competitive divide between modern firms that implement these solutions and more traditional, paper-based firms will only increase. Here, firms have a big advantage—they can quickly implement technology to automate repetitive tasks at their firms, and move away from “expert” centric process and towards legal project management.

What Legal Software Does your Law Firm Need?

Start your 2018 as you mean to go on. Digitally transform your legal firm with ShareDo – a platform for tomorrows leading legal firms today.

ShareDo, created by slicedbread, is an adaptive case and work management platform. Built using the best technology stack to solve today’s business problems; ShareDo improves an organisations productivity and efficiency to help drive successful client outcomes.

Want more advice and information to help your legal practice thrive? See the ShareDo website or get in contact with our team at hello@sharedo.co.uk.