The Artificial Lawyer reports
The Karnov Group, which is headquartered in Sweden and has bases in Denmark, Norway, France, Spain and Portugal, has launched KAILA (Karnov AI Legal Assistant), an LLM-based capability to take its extensive legal data collections to a new level of utility for lawyers.
https://www.karnovgroup.dk/da-dk/kaila-support
KAILA delivers ‘precise and reliable answers along with source references, transforming legal workflows’. On top of improved legal research it uses genAI to help with:
- ‘Comparing legal provisions – Get a clear comparison of different legal provisions, e.g. by generating tables that highlight differences and similarities.
- Prepare legal arguments – You can gather arguments and practices that support your position in a legal case, e.g. to contest a termination or defend a trademark.
- Generate legal texts – Get help generating documents such as complaints, legal investigations, reports or other important legal documents adapted to your situation.
- Review and improve texts – Get help reviewing your legal texts and ask for improvements to make them clearer, more correct and in line with current practice.
- Analyze – Get an assessment of whether an action requires permission or notification under relevant legislation, e.g. within environmental law or company law.
- Ask KAILA to prepare you for meetings – Gather relevant legal information, potential complications and prepare questions to ask prior to meetings.
- Generate checklists and drafts – Get help creating checklists and drafts that ensure you comply with applicable regulations and best practices in your company.
- Summarize – KAILA can summarize documents for you, so you can get a quick overview of a case, law or agreement.’
In short, this is taking what LLMs can do, with their broad range of language and concept understanding, as well as text generation, and applying it to the huge Karnov legal library, using a chat interface.
One example they give is a lawyer typing in a prompt about a criminal matter: ‘I need inspiration for arguments that will secure my client the lowest sentence’, (see below).
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