4 legal tech challenges that are blocking even the legal departments of software companies

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Implementing legal technology is no easy task, even for the legal departments of large software companies. So that they can have access to senior product managers and technical experts, this in-house expertise does not alleviate resistance to adding new software or processes into a legal department’s workflow or resolving limited interoperability of legal technology.

Certainly, as the nascent legal technology industry expands, legal departments at software companies have said the market is promising. However, they note that persistent legal technology issues continue to pose challenges that are not easily resolved by lawmakers. professionals. Below, these in-house experts explain the hurdles they face when implementing forensic technology.

Managing change is always difficult

Tech companies and their legal departments know firsthand that useful software is often overlooked if it introduces additional steps into users’ workflows. However, some legal technology developers have not modified their offerings to facilitate change management, said Jason Barnwell, Microsoft’s deputy general counsel responsible for legal, business, operational and strategic matters.

“One of the things we’ve observed is that a lot of legal technology vendors want to introduce an entirely new experience into our employees’ tool sets, and it’s very difficult,” he said. “What we have pushed our partners to do is to think about how they can bring what they have built, if [for example] we are talking about productivity tools, integrating this into what [users] already know and speak fluently.

API Search

Customers and legal technology providers have noted that the industry continues to lag behind in providing application programming interfaces (APIs) that connect platforms. This is a fundamental problem that hampers software adoption rates.

Barnwell noted that he encourages legal technology vendors to offer APIs that can integrate seamlessly into day-to-day legal department processes to ease implementation challenges. “WWe are pretty transparent about: if you can do these things then there is a greater likelihood of our common success because we can tailor our experience to where we are and they [the legal department] will use their service.

He noted that the Alliance for the Advancement of Standards for the Legal Industry (SALI), which Microsoft endorses, will take everyone’s time to be adopted, but will ultimately further boost legal technology standardization and APIs.

Personalization is necessary, but it is not easy

When legal technology cannot meet specific business needs, personalization is possible. However, it is difficult to manage, noted Maureen Harms, associate general counsel at science and technology developer 3M.

In Harms’ experience, legal technology claims may be insufficient and not meet the specific needs of all legal departments, hence the need for significant customization. But she noted that the customization “takes a long time to implement and in the end you lost the benefits of the platform, you created a tool that was difficult to maintain both for us and for the company. legal technology. [company],” she said.

Find an advanced AI

While legal tech marketing typically uses the term ‘artificial intelligence’ and other buzzwords, advanced AI probably hasn’t fueled a lot of legal tech in recent years, said Connie Brenton, chief of staff. and Senior Director of Legal Operations at NetApp. However, cutting-edge AI has finally made it legal, she said.

“AI has been around longer than it has worked in the legal space,” Brenton said. But the automatic release of contract management software and other AI-powered features has improved dramatically over the past year, she noted.

“It’s exploding in the contract space,” she said. “We are getting AI solutions that work in conjunction with our contract automation solutions and they will fundamentally change the way we work. Often times these new technologies take a while for the bugs to be fixed and we recently passed that tipping point with AI.


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