Laurel

What it is

Laurel is AI timekeeping for large professional-services firms. Desktop and cloud assistants record what each timekeeper works on across email, documents, calls, meetings and the browser. Laurel maps that activity to clients and matters, drafts the narrative time entry to the client’s billing rules, and sends approved entries to the billing system. The published legal integrations include Aderant, Elite 3E, SurePoint, Clio, ProLaw and Actionstep. Compliance rules can sync from Intapp Terms.

It started life as Time by Ping and now sells beyond law firms. Accounting and consulting firms such as EY, Grant Thornton and Aprio are on its customer list next to Saul Ewing, Frost Brown Todd and Watson Farley & Williams. It raised a $100M Series C led by IVP in June 2025 at a $510M valuation, for about $155M raised in total. At that point it had 59 employees and $26M of contracted value signed over the prior 24 months.

The product has grown from time capture into analytics. Laurel Time captures and writes entries. Laurel Signal, launched February 11, 2026, reports utilization, profitability and cost of delivery by matter and practice group, and measures what the firm’s AI tools return. Laurel bought Braid, an a16z-backed revenue-data startup, on January 1, 2026 to feed Signal.

Why legal ops teams look at it

• It replaces the end-of-day reconstruction. Laurel claims up to 30 minutes of recovered billable time per timekeeper per day and 2.88 more time entries a day. Those are vendor figures, but the mechanism is sound: time written from memory the next day is time lost.
• Guideline compliance happens at entry. Narratives are drafted to outside counsel guidelines, and rule violations are flagged before the pre-bill goes out, not when the e-billing portal rejects the invoice.
• It measures AI tools with billing data. A Thomson Reuters partnership announced August 5, 2026 ties CoCounsel Legal usage to Laurel Time and Signal, so the firm can see whether AI-assisted work turns into billed hours or into write-downs. A ChatGPT Enterprise plugin followed on September 17, 2026, letting lawyers query their own work record in ChatGPT.
• Large firms are signing firm-wide. MLT Aikins, one of Canada’s largest firms, rolled it out across seven offices on April 29, 2026 after a pilot that scored capture, narrative compliance and profitability insight.

Pricing reality

Laurel publishes no prices. Deals are quoted per timekeeper through direct sales. Competitor Ajax reports that Laurel quotes a minimum of about $50,000 a year with no pilot option. Treat that as a competitor’s claim, but plan around it: Laurel is a five-figure-minimum enterprise purchase, not a per-seat tool you trial with three associates. Signal is part of the platform pitch, so ask for Time and Signal as separate line items.

The ROI arithmetic is easy to pass on paper. A lawyer billing 1,500 hours a year at $400 an hour who recovers 20 minutes a working day adds about 80 hours, or $32,000 of billable value. The number that matters is how much of that survives partner write-downs, which is the first watch-out below.

Best for

CFOs, billing directors and legal operations leads at firms of roughly 150 lawyers and up, on Aderant, Elite 3E or SurePoint, that have a measurable unbilled-time or realization problem and want profitability analytics on the same data. It also fits multidisciplinary firms that need one time platform for legal, accounting and advisory staff.

Do not buy it for a 20-lawyer firm. The minimum spend and the enterprise rollout outweigh the gain, and published-price tools cover that case.

Alternatives and when to pick them

• Intapp Time — the large-firm incumbent, with passive capture, work-code prediction and narrative tone checks added in 2026. Laurel is a replacement for it, not a layer on top. Pick Intapp when the firm already runs Intapp for conflicts, terms and walls and wants one vendor.
• Aderant iTimekeep — the time app for Aderant firms, with a live Harvey integration since August 17, 2026. Pick it when you are on Aderant and most drafting happens in Harvey.
• PointOne — the fastest-growing AI-native rival, reporting 10x revenue growth in six months and 200+ firms. Pick it for 10-300 lawyer firms that want capture plus pre-bill review without a large minimum.
• Litify and Billables AI — Litify shipped LitifyAI Time Capture on May 19, 2026, built with Billables AI, which sells standalone at published per-user prices. Pick them when the firm lives in Salesforce or wants to buy without a sales cycle.
• Clio — pick it for small firms that want time, billing and trust in one published-price system.

If none fit, start with a policy: entries by end of day, a weekly unbilled-time report per timekeeper, and a partner check of the largest pre-bills against each client’s guidelines.

Watch-outs

• Captured time is not collected time. More entries mean nothing if partners write them down. Guard: pilot one practice group for 60 days and compare billed and collected hours against the same months last year, not captured hours.
• Desktop capture reads as monitoring to associates. Laurel says timekeepers control which apps and URLs are captured and are the only ones who see their raw work history. Guard: publish an internal policy before rollout naming what is captured, what is excluded, who sees raw activity versus approved entries, and how long raw data is kept. Put retention and deletion terms in the contract.
• The review load can surprise lawyers. A competitor reports around 250 distinct activities per lawyer per day to reconcile. Guard: in the pilot, time how long each lawyer spends approving entries each week, and set a pass mark before signing.
• No official MCP server. Laurel has an API and a ChatGPT Enterprise plugin, but no vendor MCP server for Claude or other agents. Guard: get written terms for API access and bulk export of entries and activity data, including at exit. Background: MCP server explained.

For the pricing side of this problem, see billable hour vs AFA. For the client side of the same guidelines, see outside counsel management.