placement.solutions publishes the daily-refreshed graph of who is hiring across the AmLaw 200 and the elite boutique tier. We were running it as a private tool for our own search practice when the requests for access started coming in. By early 2026 the answer to "can we license your index?" was yes.
Every legal-vertical buyer we have spoken with says some version of the same thing. The information they need to do their job exists. It is just trapped behind quarterly print reports, vendor moats with no API, and the assumption that the search-firm guild would never sell its working files to a litigation funder, a trade-press editor, or a rival firm's BD team. We disagree with that assumption, and the index is what we have to show for it.
Twenty-five years recruiting attorneys and partners across the AmLaw 200. Founded JMS Talent Acquisition in 2019 in New York. The Recruiter SaaS we still use to run our placement desk is the reference build for everything you see here. Reach me at hunter@placement.solutions.
The thesis is plain to anyone who has tried to source legal data the way you would source healthcare or fintech data. The legal sector publishes hiring information on a quarterly cadence while every other vertical publishes daily. The category got away with that because the buyers were assumed to be stuck. They are not stuck. The buyers asked us for a faster feed and they are willing to pay for one. The category was always going to get a daily-refresh product. We are the people building it.
2019. JMS Talent Acquisition opens in New York. Single-desk legal search practice across AmLaw 200 partners and counsel-level laterals.
2024. Recruiter SaaS goes live as the internal platform JMS uses to run its own desk. Resume parsing, candidate matching, pipeline tracking, automated outreach, all built around a private firm-and-jobs index that refreshes overnight. Placement desk runs on it daily.
2026 Q1. The Client Data Index is spun out as a B2B product. The same graph that drives the recruiting platform now ships as developer endpoints, scheduled feeds, and bulk extracts under api.placement.solutions. Recruiter SaaS continues as the reference customer that proves the data is good enough to run a revenue-generating practice on.
Pricing is on the page. Every tier, every cap, every overage rate is published before you talk to us. The category trained buyers to expect a sales call and a custom quote. We do not run that play.
Lineage on every record. Each row in the index carries the source it came from, the time it was captured, and the confidence weight applied. If you cannot audit the data back to its origin, you cannot defend the decision you made with it. We make that audit cheap.
Daily refresh is non-negotiable. The index recomputes at 04:00 UTC, every day. There is no "premium tier for fresh data." Fresh data is the product. Stale data is somebody else's product.
Vertical-native taxonomy. A 47-node practice-area schema built specifically for how partners, firms, and clients actually describe legal work. Generic firmographic vendors stop at "law firm." We start at appellate, white-collar, life-sciences IP, structured finance, and forty-three more.
Customer co-design. The endpoints we ship next quarter come from the buyers who paid us this quarter. If a litigation finance team wants a deal-trigger feed, we build the deal-trigger feed. The roadmap is not a secret document; it is the open ticket queue our largest customers can write to.
Legal media and trade press. The desks at the major legal news brands need the lateral-move feed before the press release lands and need it on a schedule they can stand a newsroom on. We hand them the firehose plus a webhook for partner-level moves so they can break news instead of confirming it.
AmLaw BD and competitive intelligence. Marketing leaders inside the top hundred firms need to track competitor hiring posture in real time, not in last quarter's industry report. The index gives them the headcount delta, practice-area drift, and office-by-office shape of every peer firm on a single dashboard or as a daily file drop.
Litigation finance. Funders underwriting eight-figure case books want signal on which firms are staffing up which practice and where their partner bench is concentrated. We deliver that signal at the cadence the deal team operates on, not at the cadence a printed almanac runs on.
Strategy and management consultancies. The firms advising AmLaw managing partners on growth, M&A, and practice-group strategy use the index as the underlying market dataset their decks run on top of. Bulk extracts, programmatic delivery, co-brand allowed.
Executive search. Boutique search firms competing for the same partner pool we work in license the index because building it themselves would cost a year and an engineering team they do not have. They get the working data; we get a recurring fee.
Insurance LPL and risk underwriters. Lawyers' professional liability carriers price renewals on firm composition, practice mix, and lateral churn. The index gives them current data on every account in their book of business and surfaces the firms whose risk profile shifted between renewals.
placement.solutions is a solo-founder company with an automation operations stack. The split is intentional. Automation handles ingestion, parsing, monitoring, taxonomy enrichment, and the boring middle of the data pipeline that should never have been a human's job. A human curates the taxonomy itself, owns the customer relationships, and answers the founder mailbox. If you write to us, you reach the founder. There is no SDR layer between you and the person who built the product. We think that is the right operating shape for a small data company in a category this specialized, and we have no intention of hiring our way out of it before the data and the customer count earn it.
New York, NY. Operations are remote-first; the working address is in the city. Reach the founder directly at hunter@placement.solutions for partnership conversations, custom data builds, or anything that needs a real reply from a real person.
The fastest way into a serious conversation about whether the index fits the work you are doing is a direct note. Tell us what decision you are trying to make, what data you currently use to make it, and what cadence you need. We will tell you within a business day whether we are the right fit and what a sensible first quarter would look like.