Using Large Language Models in the Legal Industry

One of the oldest and most established businesses in the world, the legal industry can trace its origins to ancient Greece. It is also one of the most complex, relying heavily on in-domain knowledge and manual processes. Large language models (LLMs) are revolutionizing the speed at which adopters can research and review contracts, automate redundant tasks, and leverage artificial intelligence in analytics.

deepset Cloud can help with your transition to an intelligent, LLM-driven, Google-like search experience for legal industry applications.

The Challenge

Reduce the complexity in repetitive and high-stakes processes

The law is a deeply complex field, defined by highly accurate, repetitive, and often manual processes, which can only be executed by those with domain expertise. For example, processing insurance claims can include multiple claimants – often well into the thousands – and must follow strict processes to determine the outcome of claims against a legal framework. Even something as simple as giving legal advice to a client can come with a heavy workload and consequences. LLMs can expedite the legal research and information discovery processes and add an additional layer of accuracy to a herculean task that has the potential to span years for a single case where teams are required to sift manually through documents.

The Solution

Streamline cumbersome legal business challenges with LLM integrations

Large Language Model augmented business applications harness the power of generative artificial intelligence so end-users in the financial industry can query the information they need using their own natural human language. The result is precise and concise answers and summaries pulled from a virtual chasm of documents versus sifting through a list of suggested documents to check manually.