AI in the legal sector
Recently, the legal sector has thoroughly embraced innovation and AI has become an increasing part of this, increasing capabilities in a variety of areas ranging from process automation, machine learning and contract ingestion with advanced OCR capabilities through to voice and facial recognition.
How else is AI being used in the sector?
AI is particularly helpful at automating mundane and repetitive tasks including natural language processing, allowing them to be completed much faster and more accurately than if they were performed by a human. Automated contract reviews and intelligent assistants leverage this kind of emerging technology and there are many examples that demonstrate success in these scenarios, including a quite famous example where chatbots were used to fight and overturn parking tickets with an incredibly high success rate.
How can AI improve the profession?
AI can improve and supplement the profession by servicing the way in which administrative, repetitive and mundane tasks have been traditionally completed. AI can also enhance and support the evolving way legal practitioners and clients communicate, by automatically triaging initial requests to determine key criteria/ parameters to then seamlessly provide clients with access to the right expert. Of course, face-to-face client engagement and delivery of key services will still be led by professionals, but improved automation will increase efficiency and help to provide value-add services considerably.
Potential developments in the legal field
Humans will always be needed to review, plan strategies and represent clients, but AI can be of great help when it comes to improving efficiency and accuracy.
DevOps techniques, microservices, robotics and machine learning mean that the provision of ICT services to law firms and their clients has endless opportunities. In turn, this can lead to increased client satisfaction with more accurate services with increased value.
Other possibilities involve:
• Voice-driven attendants to give legal advice
• Bots that can check any forms completed by clients
• Systems that can propose the “most likely to win” strategies
• Machine learning cybersecurity initiatives to determine malicious trends and patterns and take mitigating actions
• Identifying emerging threats in the marketplace
Future goals for AI in the legal sector
If AI were able to learn from multiple sources of information and inputted variables, it would drastically improve efficiency and potentially offer more certainty around outcomes and delivery timescales, supplementing many of the services provided by professionals today. Personal and tailored engagements with human interactons would always however have a place and continue to further extend delivery of key legal services.
In general, the success of AI relies on the ability to monitor and learn from everyday business operations and processes. This can supplement current processes and identify new and innovative ways to function within the legal sector. It also requires businesses to invest time and effort in the technology to ensure the best possible outcomes. It is certainly an opportunity, not a threat.