Eve (Butler Labs Inc.) is an AI platform purpose-built for plaintiff law firms, covering the case lifecycle from intake through settlement. Core capabilities: AI-powered call intake and case screening, medical chronology and summary generation (claims 15 minutes vs 8-20 hours manual), demand letter drafting in the firm’s voice, discovery response automation, and case analytics via Eve 2.0’s Agents/Auditor/Analyst modules. Serves 450+ firms processing 200K+ cases/year, primarily personal injury and employment law. SOC 2 Type II certified (self-reported — first legal AI to claim this), HIPAA compliant. Raised $103M at $1B+ valuation. Pricing not published; reported ~$500/month per attorney. Competes directly with EvenUp ($2B+ valuation, which filed a trade secret lawsuit against Eve in Sept 2025), Supio, and ProPlaintiff. G2: 4.9/5 (14 reviews). Reddit sentiment mixed — enthusiastic PI firm users but noted as ‘too costly for many firms.‘
Company Info
- Founded: 2020
- Team size: 11-50 employees
- Funding: $61M
- HQ: United States
- Sector: Gen, AILitigation
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Eve is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Eve addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Medical records arrive as 500-2,000 page PDFs that a paralegal spends 8-20 hours manually reading and summarising into a chronology — the bottleneck that delays every PI demand
Demand letter drafting takes 3-6 hours per case because the attorney manually weaves medical records, liability facts, and damage calculations into a persuasive narrative — multiplied across 50+ active PI cases
PI intake calls come in at 50-200 per week but 60-80% aren't viable cases — the firm wastes hours screening callers before a single billable minute, and good leads go cold waiting for callback
Discovery responses in plaintiff cases are a time trap — interrogatories, requests for production, and requests for admission each require cross-referencing the entire case file, taking 10-20 hours per round
Plaintiff firm can't scale past 100-200 active cases because every additional case adds linear paralegal/attorney hours for med records, chronologies, and demand work — the economics break without automation
Plaintiff attorney shifts to flat-fee or contingency-plus models but has no way to price cases accurately without knowing how much attorney time each case type actually consumes — AI changes the cost structure but billing hasn't caught up
Community Data
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