Harvey Announces Plan To Develop Memory, Enabling Users To Retain Context For More Consistent Work
Legal AI company Harvey today announced plans to develop Memory, a product that will allow users to choose to retain and carry forward the context of their work, including matter details, relevant precedent, working preferences and approved best practices, with the goal of enabling users to achieve greater consistency, efficiency and connectedness.
The company also today posted a year in review, in which it says it has now passed 1,000 customers and $190 million in annual recurring revenue.
The company says it plans to solicit significant input from the industry in building the product. To that end, over the coming months it will host customer listening tours and working sessions with firm innovation leaders and corporate legal teams, seeking to understand what should be remembered, where it should apply, and how access should be managed.
With Memory, the company said, its platform will be able to retain the context of matters and individual working styles — such as drafting preferences, prior work patterns and contextual nuances — enabling a more intelligent experience for users that translates to greater time savings and higher quality outputs.
This video provides a preview:
“Given the sensitive nature of legal work, we are taking this co-building approach to ensure Memory meets the highest standards for privacy, governance, and trust,” Harvey said in an announcement.
Adoption of the new Memory feature will be entirely optional and users will retain full autonomy over whether the feature is turned on or off.
When it is turned on, Harvey will be able to reference past threads within a firm’s defined retention window to inform new questions. This capability can be scoped at a granular level, such as to a specific user, client or matter.
“As Memory evolves, we will continue working with innovation teams to expand these administrative controls, user visibility, and ethical walls,” Harvey said.
More details about Memory can be found on Harvey’s blog.
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