Introduction

Employment law is one of the most communication-heavy and detail-sensitive practice areas. Wrongful termination, discrimination, harassment, retaliation, wage claims, or hostile workplace issues require attorneys to collect precise timelines, documentation, and context — often during an emotionally charged moment for the client.

Yet most employment law firms still rely on slow, manual intake processes that frustrate clients and make attorneys spend hours gathering the basics. AI intake assistants like Retriever help streamline this process by automating initial conversations, collecting structured case facts, reviewing documents, and qualifying leads before they reach the attorney’s desk.

The Problem With Traditional Employment Law Intake

Employment attorneys often face:

• Incomplete timelines (hire date, termination date, protected-class details)

• Clients who struggle to articulate what happened

• Slow response times leading to lost leads

• Huge influx of low-value or non-actionable cases

• Difficulty screening for statutes, protected categories, or jurisdiction

• Missing documentation early on (emails, write-ups, pay stubs)

• Repetitive, lengthy intake calls

Because cases hinge on specific legal thresholds, small intake mistakes lead to big inefficiencies later.

What Is Retriever?

Retriever is an AI intake and case assessment assistant for attorneys.
It conducts full initial conversations with prospective clients, collects essential facts, reviews uploaded documents, and evaluates case fit based on the firm’s criteria.

After the intake conversation, Retriever sends the attorney a structured, attorney-ready summary—saving hours of work and enabling faster decisions.

How AI Improves Intake for Employment Attorneys

1. Collecting Clear, Structured Timelines

Employment cases rely heavily on timelines:

• Hire date

• Incident date(s)

• Termination date

• Complaints filed internally

• Retaliation timeline

Clients rarely give this information clearly on the first call. Retriever collects it systematically and organizes it in a structured format.

2. Screening for Legal Thresholds

Employment attorneys must quickly identify whether the case meets specific requirements:

• Protected class status

• Evidence of discrimination or harassment

• Retaliatory behavior

• Wage/hour violations

• Hostile work environment criteria

• FMLA or ADA accommodations

  
  Retriever can be configured to assess all these conditions automatically.

3. Immediate Document Collection

Employment cases require evidence early:

• Pay stubs

• Emails / messages

• Write-ups

• Performance reviews

• Medical notes (for disability claims)

• Termination letters

Retriever lets clients upload documents directly during intake — no extra steps.

4. Qualifying Strong vs Weak Cases

Employment firms get many non-viable inquiries.
Retriever helps filter:

• No protected class

• No adverse employment action

• Employer size too small

• Insufficient evidence

• Missed statutes or deadlines

This prevents attorneys from wasting time on non-cases.

5. Improving Client Experience

Employment clients are often stressed or emotional.
AI intake provides:

• Immediate responses

• Clear structured questions

• Friendly tone

• Predictable process

This improves trust from the first interaction.