Know Your Numbers: How to Use AI to Analyze Your Disability Practice – NOSSCR 2026 Fall National Conference – Track II (Presented by National Organization of Social Security Claimants’ Representatives)
Nikhil Pai designed Chronicle to make the SSA's ERE usable at scale — today it monitors 177,000+ cases and 7.5M+ SSA documents across 2,100+ disability professionals. He works directly with firms, translating the daily operational realities of disability practice into software.
1 hour CLE
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Program Summary
Your Caseload Knows Where You Win. Ask It
The data is already in your office. Every closed case carries information — which ALJs grant, which hearing offices move, which claim types and stages produce results — and most firms never ask. This session shows representatives how to turn their own case data into insight.
The analysis no longer requires a data team. Today's AI tools make it possible to see grant rates by ALJ, hearing office, claim type, and stage; to find where cases stall; and to spot which evidence patterns track with favorable outcomes. The demonstration draws on aggregated, de-identified outcomes from thousands of SSD cases and public ALJ decision data.
You leave with the working start: concrete questions to put to your own data, and a framework for finding the bottlenecks in your own practice.
Eligible for up to 1 CLE Credit Hour
This session was originally submitted for CLE as a live, in-person presentation and a live webcast for the 2026 Fall National Conference and may be eligible for self-study credit. Each state handles self-study credit differently; for questions, please consult your State Bar Association.
Recorded Thursday, October 15, 2026.
Key topics to be discussed:
- The Data You Already
Have Turning your own case data into insight — the questions most firms never ask. - Grant Rates That Matter
Analyzing outcomes by ALJ, hearing office, claim type, and stage. - Finding Where Cases Stall
Locating the bottlenecks in your own pipeline. - Evidence Patterns That Win
Identifying which evidence patterns track with favorable outcomes. - AI Without a Data Team
How today's AI tools make the analysis possible, demonstrated on aggregated, de-identified SSD outcomes and public ALJ decision data. - Questions and Framework
Concrete questions to put to your own data, and a framework for finding bottlenecks.
This course is co-sponsored with myLawCLE.
Date / Time: October 15, 2026
- 1:30 pm – 2:30 pm Eastern
- 12:30 pm – 1:30 pm Central
- 11:30 am – 12:30 pm Mountain
- 10:30 am – 11:30 am Pacific
Closed-captioning available
Speakers
Nikhil Pai, Founder | Chronicle Legal
Nikhil Pai is the founder of Chronicle Legal, the SSD-specific monitoring and analysis platform he built for Social Security disability practices.
- Education & Credentials
He studied at Northwestern University.
- Experience
A technologist by background, Nikhil designed Chronicle to make the SSA’s ERE usable at scale — today it monitors 177,000+ cases and 7.5M+ SSA documents across 2,100+ disability professionals. He works directly with firms, translating the daily operational realities of disability practice into software.
Agenda
SESSION 1 – Know Your Numbers: How to Use AI to Analyze your Disability Practice | 1:30pm – 2:30pm
Your caseload is already telling you how to win more cases; most firms just never ask. This session shows representatives how to turn their own case data into insight: grant rates by ALJ, hearing office, claim type, and stage; where cases stall; and which evidence patterns track with favorable outcomes. We’ll demonstrate how today’s AI tools make this analysis possible without a data team, using aggregated, deidentified outcomes from thousands of SSD cases and public ALJ decision data. Attendees leave with concrete questions to put to their own data and a framework for finding bottlenecks.
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