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Transform Your Personal Injury Practice with EvenUp

Automate Your Legal Workflows and Maximize Settlements

shipped Nov 14, 2025automatepaid
AutomateLegalDemand letters
EvenUp - AI tool hero image

Why it matters

1Streamline your demand letter creation with AI-driven tools that enhance accuracy and speed.
2Unlock potential settlements with our enhanced analytics, using data-backed insights tailored for your cases.
3Experience seamless exhibit management to elevate negotiation, mediation, and trial preparation.

Stork Quadrant

Sleeping Giant· 31/100

Has a real moat but invisible to agents. Add an MCP and you'd climb.

EvenUp has real defensibility because demand letters live in a trust moat — a wrong valuation or missed liability argument costs the plaintiff money and the firm reputation. The tool also sits in a coordination layer: it orchestrates intake → medical records → demand generation → opposing counsel negotiation, where the rails and liability insurance matter more than the LLM. Regulatory friction (bar admission, malpractice liability) and proprietary settlement/verdict data (what actually settles in your jurisdiction) create additional barriers. An LLM can draft a demand letter; EvenUp's value is bearing the risk that it's defensible.

Claude Haiku 4.5, scored 2026-05-25

Defensibility · 57/100

  • Physical-world coupling
  • Regulatory moat
  • Network liquidity
  • Proprietary refreshing data
  • High-trust catastrophic workflows
  • Multi-party coordination
  • Brand / community / taste

An LLM alone could replace

  • Generate demand letter templates from case facts
  • Extract and organize injury/damage details from medical records
  • Draft settlement demand narratives with injury valuation frameworks
  • Suggest demand amounts based on comparable case outcomes

Agent-Readiness · 0/100

  • Verified MCP
  • Listed on agent surfaces
  • Usage-based pricing
  • Headless agent auth
  • Public OpenAPI
  • Active changelog
  • llms.txt

How to defend

Double down on the data moat: build a proprietary database of settled cases, verdicts, and demand-to-settlement ratios by injury type and jurisdiction. Become the source of truth for what a demand should actually be worth in your market. Expand coordination into the full case lifecycle — intake through settlement — so switching costs compound.

  • Ship an MCP server and list it on Stork — biggest single point gain (+25).
  • Get listed in the Anthropic MCP registry, Cursor, or Claude Desktop (+20).
  • Add a usage-based or per-call tier; per-seat-only pricing dies when agents replace seats (+15).
  • Expose API-key auth with a self-serve sandbox tier; remove sales-call gates (+15).
  • Publish an OpenAPI spec at /openapi.json or /.well-known/openapi (+10).

Specs

API Available

Yes, public API

overview

What is EvenUp?

EvenUp is the leading AI platform designed exclusively for personal injury law firms. Our comprehensive Claims Intelligence Platform automates workflows, improves client communication, and enhances case management efficiency throughout the entire personal injury case lifecycle.

  • AI Playbooks for automated risk flagging and case evaluations.
  • Voice Agent for 24/7 client outreach and satisfaction tracking.
  • Centralized tools for exhibit management directly in the platform.

features

Key Features of EvenUp

Elevate your practice with powerful features that cater to the unique needs of personal injury attorneys. Our innovative solutions streamline your operations while driving better outcomes for your clients.

  • AI Drafts for crafting courtroom-ready demand letters and pleadings.
  • Smart Workflows that adapt to your specific case requirements.
  • Executive Analytics that provide actionable insights and drive success.

use cases

Who Can Benefit from EvenUp?

EvenUp is tailored for personal injury law firms of all sizes, from small practices to national leaders. If you're looking to reduce manual effort and enhance client support, EvenUp is the solution you need.

  • Solo practitioners seeking efficient case management.
  • Mid-sized firms aiming to scale operations and increase settlements.
  • Large firms looking for data-driven decision-making and streamlined workflows.

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