Coheso Launches Memory to Automate Legal Institutional Knowledge

The platform functions by analyzing completed legal matters to identify repeatable decisions. Rather than relying on static document libraries, the system captures the reasoning, specific conditions, and exceptions behind every judgment call. When a similar request arises, the software surfaces this context, allowing attorneys to apply past logic without manually searching through archives or relying on the memory of individual team members.

Fred Braunstein, Director and Principal Counsel at Taskrabbit, noted that the tool addresses the challenge of learning from daily legal advice. By letting the system propose positions that an attorney then reviews and approves, the platform maintains a human-in-the-loop requirement that prevents automated errors. This process mirrors the development of case law, where departments can trace the evolution of their internal policies alongside the reasoning for any departures from past standards.

Aditya Rathod, Chief Technology Officer at Coheso, highlighted that the development focused on distinguishing between unique case details and actionable, repeatable guidance. The tool integrates directly into existing workflows, including Slack, Teams, and email, positioning Coheso as the central system of record for corporate legal departments. This launch follows the company's recent rollout of AI agents designed to redline contracts against proprietary playbooks, further automating the intake and management of complex cross-functional legal tasks.