LawdingoWinter 2013Active☆Watch⊞Compare

Lawdingo is one of 43 Legaltech companies tracked from New York, NY, USA, on record since 2012. By capital raised it ranks in the upper tier (ahead of 86% of sector peers), and in the upper tier by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

Lawdingo provides virtual paralegal services to law firms.

Lawdingo gets people in touch with a lawyer very quickly. Lawdingo gives people seeking legal services direct access to independent lawyers who can help them. Such attorneys usually have more flexible hours, lower rates, and greater interest in customer service than to their larger firm counterparts. The problem is that there is so many such lawyers; how is someone supposed to figure out who is right for them, and who has some time to take on their case? Fair question. Coincidentally, we started Lawdingo to answer just that. If you're looking for a lawyer, we encourage you to try finding an easier way to get one to work for you. If you are a lawyer working in solo or small practice, we encourage you to find a more effective way to grow your law practice. We also encourage you not to take our word for it. Read what Solo Practice University, the ABA Journal, FindLaw, AboveTheLaw, TechCrunch, Lifehacker, and others say about us. This isn't some fly-by-the-night company. This is the future of the legal industry. We hope you'll get in touch. Lawdingo was started by Nikhil Nirmel (nikhil@lawdingo.com), an entrepreneur with a background at Yelp and Wharton Undergrad, and Dan Langevin , a ridiculously talented technologist who was formerly CTO of Lifebooker. Lawdingo has backing from Y Combinator and other investors.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 43 companies in Legaltech. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 86% of sector peers (real $). Modeled value above 86% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Lawdingo is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Lawdingo sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Lawdingo, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.