Video course · 10 chapters · 42 min · certificate
Legal AI Essentials: Bias, Benchmarks & Practice
Legal AI essentials for lawyers: how bias enters AI, how legal AI systems are built, how queries and context windows work, benchmarking models for legal accuracy, operational best practices, and the future of legal work.
What you'll learn
- Recognize how human bias enters legal AI
- Understand the architecture of legal AI tools
- Explain query processing and context windows
- Benchmark AI models for legal accuracy
- Apply operational best practices
- Anticipate how AI will change legal practice
Chapters
10 chapters · 41:37-
1:56
01Bias Members
Bias in AI systems
Two people, same offense, same circumstances: how would AI decide, and what bias could creep in?
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4:08
02Foundations Members
How human bias enters AI
AI learns from human data, so human biases can become patterns in the model.
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4:31
03Architecture Members
Legal AI architecture
How legal AI tools store documents and use RAG, and why that design matters.
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2:34
04Mechanics Members
How queries are processed
What happens when you query legal AI, and why prompting matters.
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4:12
05Configuration Members
Context windows and outputs
Why the context window matters and the range of output formats.
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3:15
06Performance Members
Optimizing performance
Using regularly updated public benchmarks to choose models.
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4:07
07Benchmarks Members
Benchmarking for lawyers
Four-parameter benchmarks and bar-exam performance across jurisdictions.
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5:21
08Practice Members
Operational best practices
Testing exact-quote questions, like quoting statutory text, and doing it regularly.
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3:45
09Future Members
The future of legal practice
AI will make lawyers dramatically faster; the question is how to adapt.
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7:48
10Wrap-up Members
Course overview and wrap-up
Access to top models, how paralegal work changes, and closing thoughts.
Jobs this course suits
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