Oddr

Oddr is the legal industry’s self-described ‘only AI-powered invoice-to-cash platform,’ unifying billing, collections, payments, and forecasting under one system. Core capabilities: automated bill preparation and delivery, collections tracking with systematic follow-up, client billing portals, payment processing, LEDES invoicing, split/bulk billing, revenue analytics and forecasting, and Oria (AI-powered Revenue Intelligence assistant launched Aug 2025). Founded in India/Silicon Valley. $2M seed raised Oct 2022 (Saama Capital, Twin Ventures, LegalTech Fund). Reported 300% growth in 2025. No public pricing. No G2/Capterra reviews found. No Reddit practitioner discussion found. Zero discoverable security certifications (no SOC 2, no ISO 27001 on public pages). Strategic partnership with Helm360 (May 2025) for integration into Elite/3E ecosystem. Publishes annual Invoice-to-Cash Survey — found 60% of law firms experience 61-90 day collection cycles. CEO Milan Bobde writes thought leadership for ALA Legal Management Magazine. Coined ‘Revenue Intelligence’ as product category. Competes adjacently with LawPay/8am (payments), Aderant (billing), Thomson Reuters Elite (billing/finance), and Brightflag (from the e-billing side).

Capabilities

Spans 5 product areas: Time and Billing, Spend Management and E-Billing, Accounting/Finance, Client Portals, Payment processing.

Workflow Coverage

Based on published feature listings, this tool maps to 5 workflow areas:

• Billing, Time & Finance — Time Tracking, Invoicing Tools, Trust Accounting, Automatic Time Capture (+8 more)
• Research & Analysis — Insights and Analytics
• Firm Operations & Growth — RFP Management
• Communication & Collaboration
• Client & Matter Lifecycle

Workflow mappings derived from published feature lists. Not independently verified.

Company Info

• Sector: Legal Tech

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.