2020 will be the year for broad AI adoption in Canada, argues Sean Lynch
According to a Bloomberg Law Legal Operations & Technology survey in the summer of 2019, 54 per cent of respondents said they do not use artificial intelligence or machine learning tools. Yet of those who do, 47 per cent say they use the tools for document review and 41 per cent for eDiscovery.
Generally, the use of analytics, artificial intelligence (AI) and machine learning (ML) are becoming more widespread within the legal industry. However, large-scale adoption has been slow. Slow uptake of useful technology is not unique to the legal industry, or Canadian businesses. In fact, any change within an organization, especially with respect to the way work is done, tends to take years to be fully implemented and leveraged by most employees.
While the efficiency and productivity benefits of AI and ML are undisputable, the day-to-day use of them can be intimidating to some. In 2020, we anticipate that widespread adoption will come to fruition, and lawyers will become more comfortable with the benefits of analytics and AI, and aware of their limitations, too.
I group analytics, machine learning and other advanced, systematized technologies under the umbrella of artificial intelligence. To borrow an indelible Arthur C. Clarke quote and apply it here, “Any sufficiently advanced analytics system is indistinguishable from artificial intelligence.” All the so-called AI tools we use in eDiscovery are simply advanced analytics, and generally lawyers tend to be comfortable with how analytics work. After all, email threading, concept searching, and clustering have been part of the legal industry for years, and the technology works well.
With vast amounts of data, the eDiscovery industry, particularly in Canada, has lived at the forefront of the utilization of advanced technologies. This early adoption was mostly driven by corporate clients who saw technology as a way to decrease their exposure to risk and to reduce the costs associated with managing their data; think contract management software, centralized electronic document management and so on. AI is the next step along this technological curve and is being employed in various ways within the legal industry to address, for example, contract review and analysis, dark data discovery, and document review. In general, the application of AI is designed to reduce, define and organize data.
As with any new technology unfamiliar to users, adoption can be slower than desired or needed. One of the biggest challenges around AI is getting lawyers to accept it into their workflows. Lawyers strive to meet the challenges of their clients and must feel confident in the technology they use, which oftentimes results in a preference for solutions that have been tested and considered by other members of the bar or third-party arbiters (i.e., the courts) before moving forward. This view can be limiting and detrimental to cost and outcomes.
The legal technology industry is, however, making it easier than ever not only to understand how AI tools work, but also how to best work with the tool. Workflows are now less cumbersome, and the software is significantly more user-friendly than previous versions. Software like Relativity’s Active Learning allows legal review teams to train the relevance algorithm iteratively, with the system recognizing quickly and accurately what lawyers consider relevant versus non-relevant material. A review lawyer can simply start a review queue and, after the coding of several document, the system will learn enough to begin presenting highly relevant content to the reviewer.
It’s important to note that Active Learning, like any other AI-based system, still requires human training and interaction, which specialists provide. After all, an AI system only knows the answer to a question if you give it that answer first.
We anticipate that Active Learning and similar machine learning tools will become the norm in 2020. More and more firms and corporations are encountering data sets that are beyond their resources to process, review and produce in a reasonable timeframe. For example, five years ago, we were looking at major regulatory matters that included 150,000 documents. At the time, document sets of this size were manageable and deadlines were met without too much strain on counsel. We’re now seeing document sets jump to the millions, with the same review timeframe; without technology at our disposal, it would be incredibly difficult and costly for businesses to complete these large reviews on deadline.
As we consider the future of work and the development of our digital workplaces, whether within law firms or corporate offices, AI cannot, and should not, be looked at as a hurdle that must be surmounted. Instead, it should be viewed as a partner that will assist you in achieving success for your firm and your clients. In 2020, whatever resistance to AI existed in the Canadian legal market will dissolve as lawyers realize the potential AI brings to their business, in order to remain competitive and for their abilities to best serve the needs of their clients.
