Companies · Legaltech
New York City · NY, USA · Legaltech · founded 2024 · https://overstandlabs.com
Diligence memoA one-page analyst read on Overstand Labs — recommendation, valuation, rhythm, risks.→Overstand Labs: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Overstand Labs is one of 43 Legaltech companies tracked from New York City, NY, USA, on record since 2024. 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”
Navigate any set of data - no matter how large - in minutes.
Overstand is a data lab that allows our customers to navigate any set of data in just a few minutes. *Enterprise*: For enterprises, we we unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations. *Legal Firms*: For legal firms, we help them really quickly understand their entire discovery corpus (either before, or after document review), and quickly build out an initial case assessment and facts. Instead of waiting on reports or manual analysis, teams get immediate, evidence-backed answers from the data they already have. Overstand delivers clarity and leverage as your business scales.
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.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
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.
Overstand Labs 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.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| Abel | Legaltech | — | — | — | same sector |
| &AI | Legaltech | — | — | — | same sector |
| Atrium | Legaltech | — | — | — | same sector |
| Atrium Legal Technology Services Inc. | Legaltech | Series C | $70.4M | $1.5B | same sector |
| AXDRAFT | Legaltech | — | — | — | same sector |
| Blueshoe | Legaltech | — | — | — | same sector |
| Brighterway | Legaltech | — | — | — | same sector |
| Clerky | Legaltech | — | — | — | same sector |
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.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| &AI Collaborative workspace for patent litigators | Legaltech | — | — | 75% |
| Tower M&A due diligence platform powered by AI | Legaltech | — | — | 75% |
| OVERSTONE ASSOCIATED Ltd | Other Technology | Pre-Seed | $2.6M | 74% |
| Heron Data We automate document-heavy workflows in financial services and beyond | Fintech | — | — | 74% |
| Brighterway Streamlining the medical record review process in workers comp | Legaltech | — | — | 73% |
| Regology, Inc. AI Agents for Regulatory Compliance | Regtech | Series A | $128.2M | 73% |
| Rescript AI for Legal & Public Policy Teams | Legaltech | — | — | 73% |
| Dioptra, Inc. Automated contract review with AI | Legaltech | Pre-Seed | $6.5M | 73% |
See where Overstand Labs sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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