Overcoming the challenge of open courts and closed data
Imagine trying to write a story with only a partial alphabet. Or trying to write a song with access to just a few notes. It’s the same with legal data – the more you can access, the more you can do. Through a unique member and collaborator model, LIDI lowers legal data access barriers in Canada and facilitates innovation on an unprecedented scale.
Balancing Open Court and Personal Privacy
The importance of protecting both open courts and personal privacy is greater than ever. LIDI is tackling this challenge.
Advancing Access to Justice
Technology-supported activites are frequently part of collaborative efforts to advance access to justice. LIDI Data Trust content can help.
Advancing Legal Tech
Accessibility of legal data is strongly correlated to legal data innovation. LIDI lowers the barriers and creates new possibilities.
“Natural Language Process involves machine learning models that seek to understand human language. These models need legal data to advance. It’s true!
Growing with Courts and Tribunals
The LIDI Data Trust starts with an extensive, up-to-date and editorially enriched collection. Courts and tribunals will benefit through direct participation.
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The LIDI exists to bring the power of many to support the interests of all.
LIDI Innovation Projects
LIDI partners bring a world of creative talent to pressing justice and technology challenges and opportunities. Together, we seek to make the administration of justice more transparent and less costly, the attainment of justice more accessible to more people, and the protection of personal privacy more robust for citizens.
Legal Data APIs
Robust APIs, advanced filtering and integration capabilities, and the assurance that court corrections, redactions and retractions are pushed to LIDI members and collaborators.
De-identified Court Decisions
Advanced machine learning NLP models de-identifying court and tribunal decisions that distinguish between parties and witnesses, and justice system actors (i.e., judges, counsel, police).
Public Resource of Parallel Citations
Producing and publishing a comprehensive and interactive resource of parallel citations spanning all decisions within the corpus of Canadian law.
French language Machine Learning models
Apply, assess, adapt and improve the quality of English-originated legal NLP models when applied to French legal content.
Legal Citation Analysis
Detailed citation analysis to uncover previously undetected patterns in the evolution of Canadian common law.
Free, public interest legal tech tools
Essential content mining and analysis needed to identify the elements of judicial reasoning relevant to dispute resolution.
The LIDI Data Trust
LIDI operates as a steward of public, but sensitive court and tribunal rulings and other legal data. Through advanced data platforms and other technical and contractual means, LIDI takes extensive measures to ensure members and collaborators engage with the data in a manner that respects the expectations of courts and privacy officials.
LIDI members fund the LIDI mission to expand the amount of open court legal data available in an “innovation ready” format. Coming from many corners of legal, technology and public interest communities, LIDI members engage with the data to pursue internal efficiencies and opportunities, as well as public interest and non-commercial uses.
LIDI Research and Development Partners
LIDI collaborates with public and private sector entities to advance public interest objectives in 4 key areas: 1) protection of personal privacy; 2) data clean-up and normalization to accelerate innovation; 3) development of free public legal apps; and 4) advancing French language access to justice, innovation and legal artificial intelligence.
Innovative use of legal data carries risk and potential beyond any single challenge or opportunity. It naturally follows that effective stewardship and support means that LIDI should rely on insight and guidance from a wide array of sources. LIDI is grateful to the expert advisors that bring justice innovation, advanced data science, ethical/responsible AI, privacy and commercial experience to its mission.