Human vs Computer. Reliability & Competition

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Tobias Cecil Burns
5 years ago
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1 Human vs Computer Reliability & Competition

, founded in 2017, with a intention of freeing up resources for patentholders so that they have more resources to help bringing their inventions in-to life.

Today we make it easier for patent agencies and companies to pay patent annuity fees anywhere in the world, while charging a flat service fee.

2 , founded in 2017, with a intention of freeing up resources for patentholders so that they have more resources to help bringing their inventions in-to life.. Our first product, 42patents, makes patent renewals very simple by automating everything for you. The current process for renewing a patent is non-transparent, complex and time-consuming. Today we make it easier for patent agencies and companies to pay patent annuity fees anywhere in the world, while charging a flat service fee. For patent agencies we offer collection of money from your customers, so you don t have to hassle with invoicing. We save internal resources at your agency for you to use on other matters. Our renewals platform automatically takes care of all of the formalities, from billing to renewals verification. Reach out to us at 42patents, if you d like to try it out. We believe reliability comes with digitization and automation. A computer learns like a human, however, never forgets. Let us be your reliable patent renewal solution. 2

4 Overview Whether the future of docketing is operated in a virtual reality space or aided by a "Patent Siri" SOFTWARE IS EATING THE WORLD Much of the automation debate may be focused on the future, but thousands of jobs are already being replaced by machines. A recent study by McKinsey estimated that as many as 800m jobs will be automated globally by 2030 that s about 60% of jobs and around 30% of all activities! Another study by PwC predicted that 10 million UK workers could be replaced by machines in the next 15 years, with a staggering 30% of jobs potentially under threat. "Dishwasher" and "Calculator" used to be job-titles. Today they're names for machines. However this paper does not focus on how eventually everything might be automated by software in the future or not, it focuses on how we as professionals working with patents can do work smarter. Let s first take a look at some of the advancements in technology that s come to mind in the last couple of years such as Digital Bates stamping, predictive coding, advanced searches in legal research tools and document assembly. Just to give you an example. Whether you see legal research as mechanical or not, advances in legal ediscovery seem to help us work smarter. Tools that tell you with fair accuracy whether one document out of a million is a hot document or an irrelevant document by reading a seed set of documents and learning what is important, and then instantly analyzing the rest of the documents to see if it can find anything relevant. Legal research used to take up weeks, but with today's technological advancements it s taking a fraction of what it used to. Now imagine only reading papers critical for your tasks, that s what we re looking at in the near future, cutting your work time by several percents. 3

5 Take Advantage To be a first-tier, patent agent or attorney in the patent working space. To influence the top-management agenda and deliver exceptional impact. To develop strong work with intriguing results on a global basis. JOY What we hear people enjoy working with patents is among other: Writing for its own sake. Details and exploring fine distinctions. And for litigators competition and adversarial environments. However in recent years, the area of research and development (R&D) has witnessed a quantum jump in complexity, and as a result, the number of IP rights within products and services has increased dramatically. IP COLLABORATIONS What we see in the recent years is evidence that cooperation between companies becomes more popular as similar problems, questions, and solutions related to technology are shared. We see diverse idea pools where all parties benefit from the outcome. This seems to be one of the ways companies adapt to the increasing complexity however it greatly depends on the industry. Meanwhile, Nordic IPR Survey Report 2018 shows that the current most important topic related to their business is 40% on the Rise of Artificial Intelligence, 20% on Adopting Open Innovation and 40% on Implementing the Trade Secrets Directive. Leaving only 20% on Open Innovation specifically related to collaborative product design and development. TECH Specifically, collaboration platforms are seen in almost every company today, but the lack of innovation in the IPR space is still missing. However, increasingly new startups are seeing opportunity in this space bringing some of the older innovators in the space in clinching competition. Especially Innovators focusing on (AI) Artificial Intelligence, (ML) Machine Learning and Automation. STATUS The new tech is still quite young. And the complexities of the ever-changing patent space don t quite make it easier for the newcomers. The system is trying to comprehend the patent laws itself, and automatically and always stay updated with it. The Artificial Intelligence program is trying to learn the inventions, how they work and why. At the same time, it s a super hyper-competitive environment with lots of money at stake. What we humans need are patience, courage, EQ and lateral thinking to solve the human problems of patent lawyering. An AI program would have to deal with all that but at the same time solving the more technical and legal problems. And did I mention, there s also the deadline aspect of it. Words have consequences attached to it. It is hard to justify the amount of thought that goes behind creating a successful and well-written patent document. Especially when writing claims, it is more like simulating an algorithm in your brain. 4

6 New Tech Example of frontrunners who believe their software will rule the patent space. FROM ADMINISTRATION AUTOMATION TO DRAFTING APPLICATIONS THE DEVIL IS IN THE DETAILS. Never judge a book by its cover. I m sure you ve been taught about disruptive innovation at your company and have this in mind when reading about the frontrunners here. We ve seen it in other industries, the big corps don t see the new tech startup coming before it s too late. So take a look at these four hand-picked ones, that we believe are innovating the IPR industry InnovationQ combines the power of semantic and precision search to rapidly sift through big data to quickly and efficiently pinpoint relevant patents, applications, and non-patent literature. The results enable organizations to make critical business decisions around patentability, freedom-to-operate, IP market landscape, and competitive intelligence. InnovationQ is a powerful business intelligence tool Starting with automation of patent prior art search. Using a combination of deep learning and natural language processing they deliver three things: dashboards for faster and more accurate decision making; R&D analytics to confidently navigate risks and opportunities; and a radical cost reduction in patent management and search AI Patents has developed a conceptual patent search engine which allows users to more quickly and efficiently retrieve highly relevant patent information. Accordingly, we are able to overcome problems such as inconsistent vocabulary and ambiguous descriptions specifically by having analyzed millions of technical expert, or patent-examiner 2. based associations. Legit Patents builds AI-powered Simply, a user inputs an inventive concept applications to automate parts of the using free-form, natural language. The R&D process. engine internally supplements the query Based on proprietary NLP technology, the with related technical terminology platform allows inventors of all sizes to learned from thousands of patent automatically: check novelty & examiner reports. Then, the user is patentability of research work product; presented with a ranked list of highly perform competitive patent analysis; relevant documents. This same end user track R&D spending for tax credit does not need to be an expert, purposes; and file provisional patents professional patent searcher to use and without the need for hours of prohibitively derive value from our system." expensive legal fees. 5

7 What s next Tackle & Solve Competition Engage & Mobilise Reliability TS TACKLE & SOLVE COMPETITION EM ENGAGE & MOBILISE RELIABILITY The discipline of tackling competition by innovation and by being the frontrunner has the possibility to solve some of the obstacles we face when running against competitors. The discipline of delivering impact and exceptional results through innovation is the new black for every strategist. It is not a method, but a way of working. A philosophy, one could say. Tackle & Solve competition by leveraging computer technology and the latest software advancements. You re able to work smarter, faster and with less cost. Forget the short-term cost that might be when implementing and testing new tools. An innovative business does never step down on their toes, they keep momentum and strives to be ever more efficient every day. Engage & Mobilise reliability by trusting computers with the new way of delivering value. Computers drive a car safer than a human and likewise with different parts of patent work. To give you an example with annuity payments, that s basically just a bank transfer. A bank uses computers for transferring money, at we ve created 42patents.com that s automating that annuity bank transfer for you. Globally. 6

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OVERVIEW OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES. Presented by: WTI

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