Eve

What it is

Eve is the legal AI platform built for the plaintiff side of the bar — personal injury and labor-and-employment firms that run high case volume on contingency. Founded in 2020 by Jay Madheswaran (ex-Facebook, ex-Rubrik), Matt Noe, and David Zeng under the entity Butler Labs, it raised a $47M Series A led by Andreessen Horowitz in January 2025, then a $103M Series B led by Spark Capital that closed in September 2025 at a valuation above $1B. Eve says it processes more than 200,000 cases a year and that firms using it have collectively recovered over $3.5B in settlements and judgments.

That positioning is the whole point: Harvey and Legora chase in-house teams and BigLaw, where the buyer bills by the hour. Eve chases the firm that wins on settlement value and case throughput, where every hour an associate spends assembling a demand is an hour not spent on the next intake.

How plaintiff firms use it

Eve covers the case lifecycle from intake through litigation rather than a single document type:

• Demand letters in your firm’s voice. Eve drafts demands, complaints, and good-faith letters citing the case’s own facts, adapted to the firm’s tone. It reports demand generation roughly 90% faster than manual drafting — the load-bearing workflow for a PI shop.
• Medical chronologies and overviews. It summarizes medical records into a chronology in about 30 minutes, the step that otherwise eats a paralegal’s afternoon per file.
• Discovery, both directions. Eve propounds discovery requests and drafts responses to propounded discovery, plus deposition and motion analysis.
• The Auditor. A nightly scan flags missed value drivers across open cases — TBIs, MRIs ordered but never taken, mass-tort eligibility. This is the feature that earns its keep: it surfaces money the firm already had a claim to.
• Intake. An AI voice agent fields incoming calls 24/7 and runs case evaluation at the top of the funnel.

Eve reports a 2.5x increase in case capacity and 250% year-over-year revenue growth at adopting firms — vendor figures, not audited, but consistent with the throughput story. It is SOC 2 Type 2 certified and HIPAA compliant, which matters when the corpus is protected health information. Named users include Mike Morse Law Firm, the Law Offices of James Scott Farrin, and Hershey Law.

Pricing

Eve does not publish pricing. It sells per-seat, demo-gated, with custom enterprise contracts — there is no self-serve on-ramp. Third-party market benchmarks put plaintiff-side legal AI of this class at roughly $100–300 per user per month; treat that as an estimate, not a quote, because Eve’s number lands after a sales conversation and scales with seat count and document volume. For a high-volume PI firm the math is throughput-driven: the question is hours of demand-workup removed per file, not the headline seat price.

Best for

• Plaintiff personal-injury and labor-and-employment firms running real case volume (the contingency model is where the case-capacity multiplier pays back).
• Firms whose bottleneck is demand-package assembly and medical-record summarization, not legal research.
• Shops that want the full intake-to-litigation lifecycle in one platform rather than stitching point tools.

Alternatives

• EvenUp — the name-recognition leader in PI demand packages and case valuation. Pick it when the job is specifically settlement-value estimation and structured demand packages, and you don’t need Eve’s discovery, intake, and auditing layers.
• Supio — pick it when medical-record depth is the constraint: massive record sets where chronology accuracy and extraction are the whole game.
• ProPlaintiff — the lower-cost entrant, roughly $99–249/user/month, for smaller firms that want demand letters and chronologies without an enterprise commitment.

Watch-outs

• Accuracy still needs a lawyer’s signature. Eve drafts; it does not practice law. A fabricated record citation or an inflated value driver in a demand is the firm’s liability, not the vendor’s. Guard: keep attorney review mandatory on every demand and discovery response, and spot-check the Auditor’s flags against the file before acting on them.
• Opaque, no-floor pricing. The demo-gated model means you can’t size the spend before a sales call, and quotes climb with seats and volume. Guard: get the per-seat number, the document-volume tiers, and the renewal-year uplift in writing, and benchmark against EvenUp and Supio quotes for the same firm size.
• Young vendor, fast-priced. Founded 2020, a $1B valuation in 2025 prices in growth that has to keep landing, and the category is crowding fast. Guard: confirm data-export and portability terms so PHI and work product aren’t locked in, and keep the first contract term short.