LLMs look set to have a rippling effect across business and society.
The power of contextual delivery
Providing the right information at the right time is key for rule-makers and rule-takers to carry out their jobs efficiently and accurately. If you are a legal drafter, you don’t want to lose focus switching between research tools and the drafting environment. If you are an auditor, you don’t want to have to leave the audit platform to search for relevant guidance. You want to be able to access that information as and when you require it.
This is already something we at Propylon work with organizations to address through contextual delivery. Our APIs allow for the integration between our software and other tools to provide the right information at the right time.
New-generation LLMs present opportunities to tap into AI technology to build on contextual delivery and take it to the next level, slashing the amount of time spent on redundant tasks and acting as an aid in drafting and research processes.
Greater accuracy in rule-making and rule-taking
The emergence of LLMs like ChatGPT has inspired both excitement at the possibilities and caution as leaders consider what the next phase could bring.
The workflow of the future
LLMs look set to have a rippling effect across business and society. While that full impact has yet to take shape, the potential benefits they can have on reducing workload and improving accuracy are set to permeate how we all carry out our jobs.
For rule-makers and rule-takers, LLMs can be harnessed to provide tools that reduce the time and effort consumed by manual tasks and allow staff to focus on higher-value activities, with steps taken to ensure that data is protected to the highest standard.
Focused on a contained company data set, the technology can help staff do their jobs better and with reduced errors. While the workflows will be different, we foresee that these workflows will be enhanced, optimized rather than reinvented or fully replaced.