At ILTACON today on Orlando, the document management company iManage introduced iManage AI, an AI search engine built natively into its cloud platform that is designed to help customers improve productivity, drive added value from their knowledge assets, and protect data against security risks.

Because I am at ILTACON with a packed schedule, I plan to write more about iManage AI when time allows. I had a demo on Friday and it appeared to be an effective tool for helping legal professionals search their document collections more precisely and find the knowledge assets that most relate to the task at hand.

The core of this new iManage AI is a document classification and enrichment engine that dramatically improves knowledge search and content workflows on the iManage platform.

iManage AI builds on models trained on tens of thousands of legal-specific documents to automatically analyze documents and extract key data points – such as jurisdictions, parties, or dates – and then save that information with the document.

The result is that users are able to pinpoint specific pieces of information and apply them to their work processes to be more productive and efficient.

iManage AI enables users to effectively automate the processing of tagging documents with metadata to make them easier to find for specific use cases.

In a statement provided by iManage, An Trotter, senior director of operations within the Office of General Counsel at Hearst, said, “iManage AI has automated the process whereby documents in iManage Work are analyzed by the AI engine, which makes an accurate prediction on the type of each document is, applies metadata and pushes them back into the document management system so that they are searchable.”

iManage says it has focused development of iManage AI on building tools for effectively curating the content that the AI engine can see, “so that responses are relevant, accurate, and built on the best work product available at the organization.”

To mitigate any risk of breaching client confidentiality, iManage AI includes robust governance tools to specifically control the engine’s access to content, the company said.

“The AI engine only analyzes documents located in the customer’s own data resource, ensuring complete confidentiality and compliance with ethical and regulatory obligations,” iManage said.

“As stewards of our customers’ data, we firmly believe that knowledge curation and quality data sets are critical to the effective and ethical use of AI,” said Neil Araujo, CEO of iManage. “Achieving business benefits requires the right partner, one with strong experience with AI technologies, deep understanding of the risks involved, and expertise on how to resolve them.”

iManage is actively working with customers as part of the company’s Early Access Program to validate the results they see with generative AI, and to ensure the approach includes the right security and governance protections.

Photo of Bob Ambrogi Bob Ambrogi

Bob is a lawyer, veteran legal journalist, and award-winning blogger and podcaster. In 2011, he was named to the inaugural Fastcase 50, honoring “the law’s smartest, most courageous innovators, techies, visionaries and leaders.” Earlier in his career, he was editor-in-chief of several legal publications, including The National Law Journal, and editorial director of ALM’s Litigation Services Division.