Legal
Evidence infrastructurefor AI-assisted legal work
Legal AI cannot earn trust without durable evidence of what was reviewed, which authorities applied, and how conclusions were reached. Dali applies GammaLex evidence infrastructure to that problem.
When Every Moment Counts
A growing justice gap leaves millions without access to critical legal assistance.
Rural communities face life-altering legal problems without meaningful assistance or representation.
Nearly three out of every four low-income households experience civil legal problems, yet most receive no help.
What Stands in the Way
Making legal services more accessible
Legal support remains costly and difficult to access for individuals and small organizations.
Accelerating document analysis
Contract review, due diligence, and compliance monitoring are time-intensive when performed manually at scale.
Enhancing compliance monitoring
Keeping pace with regulatory change and growing contract volumes requires continuous, automated oversight.
Improving legal research access
Legal research is often gated and fragmented; data-driven approaches are needed to expand access while identifying and addressing systemic bias.
A New Way Forward
Dali applies GammaLex evidence infrastructure to AI-assisted legal work, so citations, findings, and review outcomes remain inspectable, reproducible, and defensible after the session ends.
What if every citation left a record?
A citation tells you what was referenced. Dali preserves what was reviewed, which authority supported the conclusion, and how the review was performed, as a sealed evidence record.
What if findings could be replayed?
Same inputs, same policy version, same findings. Dali produces hashes and timestamps so an independent verifier can reconstruct the review without trusting a single session log.
What if verification methods were open?
Open research expands the same infrastructure: benchmarks, corpora, and evaluation tooling so citation integrity methods can be inspected and improved in public.
What if defensibility was built in?
High-consequence legal workflows cannot treat accountability as an afterthought. Evidence lineage belongs in the architecture, so conclusions survive scrutiny when it arrives.
What's Possible
GammaLex builds the infrastructure behind trustworthy AI. Dali demonstrates that infrastructure for AI-assisted legal work, creating, scoring, and preserving evidence so outputs can be independently verified. Our roots in J4All at Stanford Law School's CodeX continue to inform how we approach high-consequence legal environments.