Artificial Intelligence & Machine Learning

Co-Pilot at Law: AI Innovation in the Legal Sector - Part 1

Luminance's Jaeger Glucina on How AI-Driven Automation Augments Lawyers' Work
Co-Pilot at Law: AI Innovation in the Legal Sector - Part 1
Jaeger Glucina, chief of staff at Luminance

The vast majority of lawyers are typically encumbered with routine work, spending excessive amounts of time on repetitive, tedious tasks such as contract drafting, contract management - including hours of manual data entry and workflow allocations. AI could potentially automate these standardized, low-level tasks, allowing lawyers to focus on high-value work that cannot be replaced - including strategic (proactive) planning, creative thinking and people management.

Built on a proprietary legal large language model, or LLM, Luminance's specialized legal co-pilot uses next-generation AI to automate contract generation, negotiation and analysis. The "legal-grade" AI was developed by a team of AI experts, validated by leading lawyers, and is now used by more than 600 customers in 60 countries. Luminance was recently declared the winner of the 2023 AI Trailblazer Award at the 2023 Tech Trailblazers Awards.

In an exclusive interview with ISMG, Jaeger Glucina, chief of staff at Luminance, delves into different use cases to explain how LLMs and co-pilots are transforming the legal profession today, solving challenges and assisting legal professionals.

Edited excerpts follow:

How are AI, co-pilots and chatbots transforming the legal profession?

The easiest way I can explain the transformative impact AI is having on the legal profession is with a few customer anecdotes.

  • Hitachi is one major organization using Luminance's AI to automate the labor-intensive tasks associated with contract creation and negotiation. With AI, they can get a signed NDA from start to finish in just five minutes of the legal team's time. With the assistance of Luminance's automated contract generation tool, the legal team has been able to upload their approved contract templates, so that non-legal teams across the business can generate contracts on a self-serve basis, knowing they are working within the compliant parameters set by the legal team. A great by-product of this is that the company is not forced to contract on third-party paper as frequently.
  • Another case study is from IDEXX Laboratories, a U.S.-based biotechnology company. Following the sudden introduction of sanctions against Russia in March 2022, IDEXX Laboratories used Luminance to get a holistic overview of the organization's business activities and identify any language referencing Russian locations, entities or legal structures. Approximately 20,000 contracts were analyzed in just 20 minutes, compared to the estimated weeks it would have taken to complete this same task manually.
  • U.K.-headquartered technology company, proSapient, adopted Luminance's AI to increase the efficiency of its lean legal team. They use it to augment all manner of contracting processes - including contract negotiations - and streamline internal workflows. This has translated to 40% time-savings on administrative tasks per week and massively reduced the company's reliance on outside counsel.

Can you quantify the benefit in terms of time-savings?

Luminance's customers have reported up to 90% time-savings through contract processing and 60% time-savings on admin tasks alone. Emma Sleep, for example, has doubled the quantity of documents reviewed per quarter with Luminance's AI. Aside from enabling resource reallocation through these time-savings, AI allows legal enterprises to save costs in terms of spending on outside counsel. AI is also enabling non-legal teams to understand and manage their contracts, without always having to rely on legal teams. This empowers departments across businesses, and reduces the burden on legal teams, so they can be left with the very specialist work that requires their expertise.

We know that generative AI and LLMs hallucinate. In fact, there are reported incidents of these models making up legal cases. What are the checks and guardrails that we need to have in place when using AI in the legal profession?

It's important to understand why these hallucinations happen in order to avoid them. Most chatbots we read about at the moment are trained to be generalists, having ingested data from the entire internet. In other words, systems that have been exposed to all types of subject matter, and they're designed to provide an answer at all costs, without necessarily prioritizing industry-specific knowledge or overly concerning themselves with getting the answer right.

This poses a big issue in the legal context, where accuracy is paramount. AI tools using LLMs can only be as reliable as their training data, which is why a specialist profession such as law requires specialist tech. Luminance's legal LLM has been exposed to more than 150 million verified legal documents to develop and fine-tune its understanding of complex legal concepts. Most importantly, this legal-grade AI is sophisticated enough to recognize when it doesn't have enough information to answer a certain question and will flag this to the user. This allows organizations to take advantage of the efficiency benefits that generative AI brings, while avoiding the risk of "hallucinations."

At Luminance, Glucina oversees operations, leveraging AI for contract drafting, negotiation and reviews. She is responsible for client development and management, overseeing sales to more than 500 customers. Glucina's experience spans insurance litigation, legal technology and business services.

*In the second part of this interview, Glucina explains how Luminance Autopilot helps with contract negotiation. She offers other use cases for their legal-grade AI solutions.

About the Author

Brian Pereira

Brian Pereira

Sr. Director - Editorial, ISMG

Pereira has nearly three decades of journalism experience. He is the former editor of CHIP, InformationWeek and CISO MAG. He has also written for The Times of India and The Indian Express.

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