Employment Handbook & Policy Updates for E-Discovery Managers

Stop letting employment handbook & policy updates eat your e-discovery manager's week.

The Problem

E-Discovery clients need handbooks updated when laws change across jurisdictions, and tracking which section needs which edit in which state is a paralegal job no one wants.

What We Build

AI monitors statutory changes by jurisdiction, identifies affected handbook sections per client in Relativity, drafts redlines, and routes to the attorney — clients stay compliant, firm retains the work.

Tools & Integrations

Relativity Everlaw Disco Email

How It Works

1

Discovery Call

We map your current employment handbook & policy updates process and identify exactly where AI saves the most time.

2

Build & Integrate

We build the AI workflow and connect it to the tools you already use — no software changes required.

3

Review & Refine

You review the results, we fine-tune until the workflow matches your standards — then it runs on autopilot.

Frequently asked

How long does employment handbook & policy updates take manually for e-discovery managers?+

In most e-discovery firms, employment handbook & policy updates consumes hours per matter or per week that AI can absorb. The exact savings depend on volume, but firms with mature workflows typically see meaningful improvement within the first quarter after deployment.

Can AI handle employment handbook & policy updates without losing accuracy?+

Yes — every workflow uses human-in-the-loop. AI does the deterministic 80% (data extraction, classification, routing); your e-discovery manager keeps every judgment call. Nothing ships without a defined approval point.

Will this require switching from Relativity?+

No. The automation runs on top of your existing Relativity setup using its API or agent integration — no migration, no parallel system, no license changes. Your team keeps using Relativity exactly as before.

How quickly can a e-discovery manager team deploy this?+

Most engagements ship the first working workflow in 2–4 weeks from kickoff: discovery call → fixed-price scope → build → review/refine. After that it runs on autopilot, with us monitoring for drift.

Is employment handbook & policy updates automation worth it for a small e-discovery firm?+

If your e-discovery managers spend 5+ hours per week on employment handbook & policy updates, the ROI is clear. The build pays back inside the first quarter at that volume — and the time savings compound, since the workflow keeps running once deployed.

What happens when Relativity or our process changes?+

Workflows are versioned and monitored. When Relativity pushes API changes or your firm changes process, we update the workflow within days — no rebuild required.

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Ready to automate employment handbook & policy updates?

Book a free 30-minute call. We'll walk through your current process and show you exactly how this workflow would work for your team.

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