ikaun introduces AI Co-Authoring and Agentic Worker capabilities for law firms

ikaun, provider of a legal industry platform for experience management, proposal generation, and intelligent AI automation, is releasing AI Co-Authoring solution along with powerful Agentic AI Workers.

According to the company, this release brings to life ikaun’s transformative vision for how law firms win work—a unified system where structured experience data powered by AI creates higher quality proposals and RFP responses and AI agents eliminate manual tasks, providing BD professionals additional time to focus on adding value rather than managing responses.

With RFP volumes rising and average value per proposal falling, law firms are under increased pressure to respond faster while providing better quality, more comprehensive, on-brand responses that differentiate their unique value, the company said.

"With AI Co-Authoring and our Agentic AI Workers, ikaun isn’t just accelerating proposals—it’s redefining what’s possible," said Jason Noble, CEO of ikaun. "By combining experience data, on brand proposals, and agentic AI, the ikaun platform doesn’t just help marketing and BD professionals write—it helps them create more compelling value propositions. It means from a single request, ikaun’s network of AI agents execute complex, multi-step tasks, empowering teams to respond faster, smarter, and with greater strategic precision, accuracy, and most importantly, greater win rates."

Configured to mirror how the firm's BD professionals work, ikaun’s AI Workers—also referred to as AI Agents—handle complex, multi-step tasks by drawing from the firm’s existing systems and internal processes.

These intelligent workers act as embedded collaborators—automating time-consuming tasks and enhancing the quality and consistency of every submission.

Targeted key use cases include:

• Bid/No-Bid Agent – Evaluates RFP fit using historical data, requirements analysis, and firm capabilities.
• Completeness Reviewer – Identifies gaps and inconsistencies across proposal responses.
• Attorney Bio Summarizer – Dynamically creates bios tailored to RFP context.
• Client Relationship Agent – personalizes and presents a firm’s full relationship history with a client.
• Pricing Recommendation Agent – Analyzes past engagements to suggest pricing strategies.
• Project Plan Generator – Builds action plans including tasks, timelines, and team assignments.
• QA and Question Extraction Agents – Perform final audits and isolate key RFP questions for tracking.

These agents operate within ikaun’s agentic architecture, which coordinates their outputs into unified results—saving hours of manual effort and improving both response quality and speed, the company said.

Built on proven generative models, ikaun’s AI Co-Authoring feature drastically shortens proposal creation time while maintaining brand integrity.

It enables:

• AI-Powered Cover Letters informed by client history and firm tone.
• Automated Experience Summaries using personnel bios and past projects.
• Reusable Content Blocks for consistent firm messaging.
• Smart Templates aligned with global or client-specific standards.
• Filtered Team Selection based on skillsets, location, and industry knowledge.
• Experience Search Engine to quickly identify and insert the most relevant people and matters.

ikaun provides a library of prebuilt agents, but its platform also supports firm-specific configuration—no custom code required. During onboarding,

ikaun works with each client to configure agents around their workflows, systems, and goals. ikaun balances automation with customization—giving proposal managers full control while reducing effort.

"Whether you're focused on complex cross-border matters or fast-moving transactional work, ikaun’s AI adapts to your needs," added Noble. "What used to take multiple tools, countless prompts, and days of coordination—now takes a single intelligent request."

For more information about this news, visit www.ikaun.com.