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How Talking Tree Builds and Evaluates Legal AI
Talking Tree explains how its legal AI supports contract review and drafting, how its content is maintained, what its limits are, and how product claims should be interpreted.
Written and reviewed by Talking Tree's legal team · Last reviewed September 2026
Quick answer: Talking Tree builds legal workflows around AI-assisted analysis, attorney-informed content, document context, and human review. The tools can summarize agreements, identify clauses, explain risks, and suggest edits. They can miss context or make mistakes, so users remain responsible for decisions and should involve licensed counsel when the stakes, complexity, or jurisdiction require it.
Key facts
- Talking Tree is a 501(c)(3) nonprofit legal technology organization.
- Redwood supports legal questions, document drafting, contract review, and redlining workflows.
- Cedar provides contract templates, customization, and signing workflows.
- Roble supports document redaction.
- Talking Tree is not a law firm and its tools do not provide legal advice.
- Product performance depends on the task, document quality, instructions, jurisdiction, and how the output is reviewed.
What the system is designed to do
Talking Tree's tools are designed to help founders, small businesses, and legal professionals perform common legal-document tasks more efficiently. Depending on the workflow, the system may summarize a document, locate relevant language, identify common contract provisions, explain why a term may matter, or propose draft wording for a user to review.
The output is decision support. It is not an independent legal judgment, a promise that every issue has been found, or a substitute for knowing the facts and law that apply to a specific matter.
How contract review should be evaluated
“Accuracy” is not a single measure for contract review. Clause detection, fact extraction, summarization, risk classification, citation to source text, and drafting are different tasks. A meaningful benchmark should disclose:
- The exact task and expected output.
- The document types and number of examples in the test set.
- Whether the test set was separate from development data.
- The scoring rules, including how partial answers were handled.
- Who reviewed the results and whether reviewers worked independently.
- The product version and evaluation date.
- Known failure patterns and confidence intervals where appropriate.
Human review and escalation
AI-assisted review is most useful as a structured first pass. Users should check every finding against the actual contract and consider the commercial context. Licensed counsel is especially appropriate when:
- A transaction is high-value, unusual, or difficult to unwind.
- The parties are already in a dispute.
- The document concerns regulated activities or multiple jurisdictions.
- A term affects ownership, financing, employment, tax, or significant liability.
- The user cannot verify an important citation, calculation, or legal conclusion.
Talking Tree's Find Counsel service helps users locate an attorney when professional advice or representation is needed.
Security and document handling
Security claims should stay aligned with the controls and practices described on the current Security page. Customers evaluating the platform should use that page and current contractual documentation rather than relying on old descriptions in articles.
About and contact
Read the canonical About Talking Tree page for the organization's legal status, mission, products, audience, and official profiles. Questions about this methodology can be sent to connect@talkingtree.app.
This methodology page describes editorial and product principles. It does not constitute legal advice or a certification of any particular output.