Orgaimi is a law-firm and accounting-firm client intelligence platform that uses AI, machine learning, and very large internal data sets to predict client outcomes, surface revenue opportunities, and improve relationship strategy. The public proof is narrower but meaningful: Orgaimi’s site says it analyzes 1M+ client attributes and predicts client outcomes a year in advance; a named law-firm case study claims $70M in revenue opportunity with 1,200 high-value clients identified at roughly 90% accuracy; Attorney at Work and Artificial Lawyer both covered the company; and Faegre Drinker’s public rollout signal suggests at least one major-firm deployment. The main caution is that public validation is still heavily vendor-led, pricing is not public, there is no meaningful software-review footprint, and most evidence is about strategic revenue intelligence rather than day-to-day lawyer workflow.
Company Info
- Founded: 2019
- Team size: 11-50 employees
- HQ: United States
- Sector: Revenue Management
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Orgaimi is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Orgaimi addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Large firm needs Power BI dashboards to track partner profitability, realization rates, and matter economics — but the data lives in Elite 3E and extracting it for reporting requires specialised skills that most firms don't have in-house
Managing partner or BD leader knows the firm has hidden expansion opportunities and at-risk clients in its current portfolio, but nobody can predict which clients are likely to grow, churn, or need a different service line before the window to act has passed.
Where it fits in your workflow
Before Orgaimi
A managing partner, CMO, BD leader, or firm-intelligence team wants to know which clients are most valuable, which relationships are underused, where cross-sell or retention risk exists, and how billing or relationship patterns are affecting future revenue.
After Orgaimi
Orgaimi ingests firm data, models client and relationship patterns, predicts outcomes, and produces recommendations that influence partner outreach, client-team planning, BD prioritization, and revenue strategy.
Integrations & hand-offs
Firm billing / CRM / relationship / finance data -> Orgaimi client intelligence models and predictions -> partner and BD action plans -> revenue growth, retention, and relationship management decisions.
Also used by similar teams
Community Data
Loading practitioner-sourced data…