Generative AI will deliver value to those who know how to use it, the tool doesn’t understand your legal function Whilst generative AI is becoming synonymous with AI, the reality is that the latter isn’t a single technology but a cluster of different technologies. Generative AI applications, on the other hand, specifically use natural language processing on data provided to deliver results and outcomes in response to precise requests. The generative AI application doesn’t understand the legal concepts underlying the questions that it is asked or the words/output that it produces. So, legal expertise within the context of matter strategy and complexity is needed in order to sanity check the outputs the generative AI tool throws up. Consequently, generative AI will deliver value and convenience only to those who know how to use it, and even help fine-tune thought processes to achieve the desired outcome. For instance, the exact same question can be asked in multiple ways and generative AI will respond in different ways too. Likewise, lawyers can receive different outputs to the exact same questions, depending on the documents that they are ‘authorised’ to access in the firm. The tool is processing natural language, after all! Microsoft will enable generative AI adoption, but compliance and confidentiality will be showstoppers In the near term, the first ‘showstopper’ for meaningful use of generative AI is going to be compliance. A lawyer using generative AI (be that co-pilot or its adaptive version) to create a report for sharing with clients or third-parties needs to ensure that the document complies with all the applicable data protection and data privacy regulations. In addition to enabling generative AI adoption through the provision of co-pilot, Microsoft will play a role in ensuring that data security and residency isn’t compromised. Microsoft’s security policy for Azure ensures that data residing in individual organisations’ cloud tenant is not shared externally. So, it will be incumbent on law firms to only use data that is within their own cloud tenant, much like it was in previous years where data resided within firms’ networks.
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In this video, we are going to review the main features of the new iManage Work desktop client integration for Mac.
We are excited to show you our first video! In this short video, Carlos García-Egocheaga, highlights four focus areas to devise a 'fit for purpose' KM strategy. Finding “knowledge” in the firm is a bit like “finding oil”, Carlos explains. Do let us know if you found this video to be useful.
This week’s AL TV Product Walk Through is Lexsoft and its T3 legal taxonomy tool for knowledge management (KM).
The company is based in Spain, but operates globally. It also works very closely with iManage. The walk through is with Carlos García-Egocheaga, CEO of the company.
In the walk through we look at how new documents are ingested into the KM system of a firm or corporate, how taxonomies are quickly built and applied to those documents, and then how hand-in-hand with iManage, you can find what you are looking for on a variety of levels.
It’s a very handy tool and brings an ease of use to KM taxonomy building and search that is surprising in its simplicity. When one hears the T-word it can sometimes be a signal for unnecessarily convoluted approaches to data management.
García-Egocheaga seems to have found a way of doing this that appears – at least as far as can be seen in this walk through – to be very straight forward. And that’s a welcome step.
Here is the walk through. Press play to watch inside the page. It’s about 13 minutes. Enjoy.