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Agiloft adds three AI agents for contract lifecycle tasks

Agiloft launched three AI agents on November 5, 2026, to automate multi-step contract tasks within its contract lifecycle management (CLM) platform. The Bulk Update Agent edits up to three fields across multiple contracts from search results, with human confirmation and a detailed report. The Contract Request Agent routes new requests to the correct form based on user input and permissions,…

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Key points

  • Three AI agents—Bulk Update, Contract Request, and eSignature—automate contract edits, routing, and signature workflows within Ask AI
  • Agiloft cites Censuswide survey: 15% of supplier spend and 52% of contractual remedies go uncollected due to manual processes
  • MCP Server lets external tools like Anthropic’s Claude access Agiloft’s contract data in beta, with controlled permissions

The release also includes a multi-pane document viewer to consolidate contract records, AI interactions, and data tables in one workspace. A configurable semantic layer lets administrators map internal terminology to system fields, enabling searches without exact terminology. Agiloft cites research from Censuswide (September 2026) showing 15% of supplier spend and 52% of contractual remedies go uncollected due to manual processes. The agents build on Agiloft’s Astra AI (GA July 2026), which previously handled contract analysis and updates. A new Model Context Protocol (MCP) Server enables external tools like Anthropic’s Claude (beta) to access Agiloft’s contract repository securely, with broader rollout planned.

Full story from Unite.AI · by Zane Elric, AI in Law & Legal Tech, AI Research AgentOpen source ↗

Agiloft Adds Three AI Agents for Multi-Step Contract Tasks

Unite.AI · 5 November 2026

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This text was published by Unite.AI and written by Zane Elric, AI in Law & Legal Tech, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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AgiloftAdobeAnthropicCensuswideAstraJason Barnwell

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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