Reliable AI for employment law disputes

Your Next
Position Statement:
2 Hours, Not 20.

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ACTIVE CHARGE
18 DAYS LEFT
Rivera v. ValueMart, Inc.
EEOC Charge No. 450-2026-02417
Jurisdiction Dallas EEOC District Office
Statutes Title VII · ADA
Response deadline 18 days left
Allegations 3 claims identified
Retaliation Hostile Work Env. – Sex Failure to Accommodate

Fern is AI purpose-built to resolve employment law disputes — AI that reads the allegations, analyzes your documents, and drafts the response — whether you're responding to allegations brought to a government agency or allegations brought by a private lawyer in a demand letter. It's built for the workflows that carry a risk of litigation or a drawn-out dispute.

AI built for
In-house Employment Lawyers General Counsel Chief Human Resources Officers Employment Paralegals
How Fern helps

Get the response out.
Get your week back.

Agency Charges

EEOC & State Agency Charges

Fern reads the Charge, identifies the claims, analyzes your documents for the best facts and defenses, and drafts a complete, cite-checked Position Statement, ready for submission.

See how it works →
ACTIVE CHARGE
18 DAYS LEFT
Rivera v. ValueMart, Inc.
EEOC Charge No. 450-2026-02417
Jurisdiction Dallas EEOC District Office
Statutes Title VII · ADA
Response deadline 18 days left
Allegations 3 claims identified
Retaliation Hostile Work Env. – Sex Failure to Accommodate
The 60-second overview
Demand Letters

Demand Letters

Another demand letter just landed in your inbox. Respond decisively. Fern connects the law to your specific facts — with citations to every document — in a way that holds up if it escalates.

Demand
RE: DEMAND — $1,850,000
Fern response analysis
DOC-002, p.1 DOC-008, p.3
Research

Research CoPilot

Automate research across your employment matters. Answers from trusted legal sources, with authoritative citations you can rely on.

Fern Research CoPilot
Customer advisory board

Built with the lawyers who handle this work every day.

Fern's advisory board is composed of senior in-house employment lawyers currently or previously serving at some of the largest US and global employers. They didn't review the product — they defined the workflow.

Titles held include
  • i.Assistant General Counsel, Employment
  • ii.Associate General Counsel, Labor & Employment
  • iii.Deputy General Counsel – Labor, Employment & Litigation
  • iv.Director, Global Labor & Employment Law
  • v.Global Employment Counsel
  • vi.Senior Counsel, Employment Law

Including former attorneys from Am Law 100 employment practices.

Retail
Mass market and specialty apparel retail – large hourly workforces, high Charge volume, 50-state operations
Technology
Enterprise software, cloud, networking, financial technology – salaried and contractor-heavy populations
Manufacturing
Automotive and aerospace – specialized hourly and engineering workforces, US and global operations
Logistics
Global e-commerce and logistics – among the highest-volume employment dispute environments in the US
Financial Services
Major global bank – large consumer and institutional workforce across US and international operations
Healthcare Technology
Healthcare financial technology, payment integrity, benefits administration – complex multi-payer workforce
"

"Most legal tech is built by engineers who've never filed a Position Statement. This was built with us — the workflow reflects how experienced practitioners actually approach these matters."

— Advisory Board Member, former Am Law 100 employment partner

Reliability
you can
count on.

01

Every output is cited to your documents

No hallucinated facts. Every factual claim traces to a specific document and page number. The record you build with Fern is the record you'll defend in litigation.

02

Purpose-built, not adapted

Not a general AI assistant repackaged for legal work. Purpose-built for the specific, high-stakes workflows that define in-house employment practice — and nothing else.

03

Immediate, measurable ROI

The value is in the first matter you run — not at the end of a six-month implementation.

"

"I have not seen any AI products that have impacted my day to day — until Fern."

— Assistant General Counsel, Employment, Labor & Litigation

For legal operations

Start on Monday.
Not next quarter.

Adoption
  • Live in a day, no expensive enterprise rollout
  • Browser portal, users get instant access
  • Per-matter pricing
Data
  • No training on your data
  • Secure vault
  • Need-to-know access
Fits your stack
  • HR system of record
  • Microsoft and Google environments
Speak with us
Get started

See what it does
to your workload.

Run Fern on an actual pending matter. Full functionality, your documents, your record.

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The company

Purpose-built for employment law.
Built to last.

Founded
January 2024
San Mateo, CA
Focus
Legal technology · Employment law · Enterprise AI
Backed by
Investors who fund infrastructure that matters. Supported by the four largest AI platforms as a recognized enterprise AI builder.
Investors include
Protocol Labs
Startup programs
Anthropic / Claude for Startups
OpenAI for Startups
Google for Startups
Microsoft for Startups
The team

Built by people who've worked inside the problem.

The Fern team brings together experience in AI engineering, enterprise software, and large-scale workforce operations — from companies that face exactly the employment law challenges Fern is designed to solve.

Team members previously at
Adchemy Charles Schwab Claire's Exabeam Geico General Motors McKinsey Protocol Labs Salesforce Siebel Systems Walmart Labs

Tell us what you need next.

Have a workflow we haven't solved yet?

Want to shape the product as a Customer Advisory Board member? Early access, direct roadmap input, and a seat at the table.

We read every submission. If you're interested in the Advisory Board, we'll follow up directly.