Obligations
Obligations - Statements of Work
Priyanka Bhatt, Legal Knowledge Engineer — Agiloft
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ABOUT THIS SCREEN
Designed For:
This screen is designed for users who want to understand statement of work-related obligations in their statements of work.
Purpose:
This screen identifies 12 obligations, posed as questions, that may be found in statements of work and presents the output in a structured format, as follows:
- Responsible Party
- Obligation Summary (plus a standardized version, where available)
- Consequence Summary (plus a standardized version, where available)
- Obligation Trigger
- Trigger Type
- Obligation Type
Limitations, Assumptions, Details:
This screen achieved ≥85% precision and ≥90% recall on a sample of 30+ statements of work and purchase orders.
Obligation-specific details are included in the User Guidance.
Additional considerations:
- Some questions return detailed summaries while others return yes/no.
- Some questions may only return a single obligation or consequence.
- Time qualifiers, such as 'business' in "business days", are disregarded.
An Obligation Template is provided at the end of this screen to enable extraction of custom obligations.
Co-Author Statement:
This screen was co-authored by members of Agiloft’s Legal Knowledge Engineering team.
ABOUT THE CO-AUTHOR
Priyanka Bhatt
Priyanka is a Legal Knowledge Engineer at Agiloft, where she combines deep legal expertise with technology to advance the company’s AI-driven Contract Lifecycle Management (CLM) platform. Prior to joining Agiloft, she worked as Global Contracts Negotiator at TD Synnex and Nomura focusing on transforming commercial contracting through innovative, tech-driven solutions.
Before transitioning full-time into legal technology, with over 6 years of experience across in-house legal, corporate secretarial and contracts manager roles, she has led global commercial contract negotiations, cross border deal structuring, due diligence process, CLM design implementation, playbook development and legal process optimization.
ABOUT THE CO-AUTHOR
Christian Brown
Christian is a Senior Legal Knowledge Engineer at Agiloft, where he applies over a decade of legal, fintech, and data analytics experience to develop AI-powered features that improve contract lifecycle management. Prior to joining Agiloft, he served as Managing Director and In-House Counsel at a fintech firm, leading AI and business intelligence initiatives to enhance due diligence processes and build machine learning–driven decision engines.
Before transitioning full-time into legal technology, Christian practiced as a consumer finance and litigation attorney, advising financial institutions, law firms, and asset managers, and helping legal teams adopt AI-driven tools to improve efficiency and decision-making.