LawGro
Reclaim lost billable hours with AI-powered automated time tracking and revenue intelligence for modern law firms.
The enterprise revenue intelligence platform that transforms activity data into pipeline results.
People.ai is a leading Revenue Intelligence platform engineered to solve the 'dirty CRM' problem for large enterprises. At its technical core, the platform utilizes advanced machine learning and natural language processing to ingest billions of signals from calendar invites, emails, and Zoom meetings, automatically matching these activities to the correct accounts and opportunities in CRM systems like Salesforce or Microsoft Dynamics. This 'SmartMatch' technology eliminates manual data entry, ensuring 100% visibility into sales activity. For 2026, the platform has pivoted towards generative AI-driven relationship mapping and deal health scoring, providing RevOps leaders with predictive analytics that identify at-risk deals before they churn. The architecture is designed for massive scale, supporting global sales organizations by providing a 'single source of truth' for the entire buying committee. By quantifying engagement levels across every persona in a deal, People.ai enables data-driven sales coaching and territory optimization, moving beyond anecdotal evidence to empirical sales performance management.
A proprietary ML algorithm that analyzes email headers and calendar participants to link activities to the correct CRM Opportunity with 98% accuracy.
Reclaim lost billable hours with AI-powered automated time tracking and revenue intelligence for modern law firms.
The Client Intelligence Platform to retain and grow your client revenue.
AI-powered conversation intelligence to bridge the gap between digital marketing and offline revenue.
Unifying Revenue Lifecycle Management through AI-driven CPQ and CLM automation.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automatically generated org charts that track engagement frequency and sentiment across the buying committee.
A predictive model using 50+ variables including velocity, frequency of contact, and persona seniority.
Connects marketing-generated leads to subsequent sales activities and revenue outcomes.
Benchmarking of top-performing reps against the rest of the team based on activity patterns.
Digital whiteboards integrated into CRM for long-term strategic account development.
Automatically scrapes signatures from emails to create new contact records in CRM.
Sales reps spend up to 20% of their time manually logging calls and emails, leading to incomplete data.
Registry Updated:2/7/2026
Forecasts are often inaccurate because sales reps are over-optimistic about deal health.
Sales leaders need to ensure reps are talking to multiple stakeholders (Finance, IT, Legal) in large deals.