ABOUT DISPOSITIVE
Dispositive is an applied research company studying dispositive reasoning: the relationships among facts, legal rules, and arguments that can determine a case. Alongside our research, we help law firms and legal practices implement research-based AI solutions.
Investigate the reasoning beneath the result.
Our research asks how the reasoning used in litigation and adjudication can be made more explicit and testable. We examine the relationships among facts, evidence, legal requirements, arguments, and procedural context, with particular attention to the dependencies that may determine a matter.
We are developing a language and compiler to support accurate representation of those relationships. Through neurosymbolic methods, we explore how neural language capabilities can work alongside symbolic representations and rules, while keeping uncertainty and interpretive choices visible.
Help firms make effective use of AI today.
We help law firms and legal practices implement research-based AI solutions using available industry products, custom development, and private AI. Our work includes selecting and integrating platforms, developing capabilities for specific practice needs, and evaluating performance. The design must fit the firm’s information, workflows, confidentiality requirements, and professional responsibilities.
Responsibility needs a clear place to rest.
We design for people and AI agents working together, with defined roles, accessible context, and review proportionate to the task. An agent’s ability to produce an answer is only one part of the design. Its authority to act, its handling of uncertainty, and the evidence available to its reviewer matter just as much.
Attorneys retain legal judgment. Our work is to make the systems supporting that judgment useful, inspectable, and faithful to their assigned responsibilities.
Let practical questions inform deeper inquiry.
Our applied research develops and tests methods for representing and examining legal reasoning, guided by practical questions in litigation and adjudication. Consulting brings research-based AI into the work of law firms and legal practices, drawing on established industry solutions as well as custom development. Practical experience helps identify further research questions, while evaluation keeps experimental work distinct from capabilities ready for a particular use.