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arxiv: 2606.18728 · v1 · pith:3Y7EOFYEnew · submitted 2026-06-17 · 💻 cs.CL

LegalWorld: A Life-Cycle Interactive Environment for Legal Agents

Songhan Zuo , Shengbin Yue , Tao Chiang , Guanying Li , Yun Song , Xuanjing Huang , Zhongyu Wei This is my paper

Pith reviewed 2026-06-26 20:48 UTC · model grok-4.3

classification 💻 cs.CL
keywords legal agentslife-cycle simulationChinese civil litigationagent evaluationLongJud-Benchcausal state chainprocedural faithfulness
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The pith

LegalWorld builds a single simulator that carries one Chinese civil dispute through five causally connected litigation stages without resetting.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Existing legal benchmarks test isolated tasks and restart each scenario independently, so they miss how early drafting choices shape later trial outcomes. LegalWorld instead constructs an interactive environment that models the full life cycle of Chinese civil litigation as one causally linked chain of five stages, grounded directly in 75,309 paired real judgments. Reusable memory and tool infrastructure keep the same dispute consistent across stages. Human ratings from legal experts confirm the generated trajectories stay procedurally faithful and role-consistent. Stage-by-stage model comparisons on the new LongJud-Bench expose performance gaps that overall scores conceal.

Core claim

LegalWorld is a life-cycle interactive environment that models Chinese civil litigation as a causally connected state chain of five stages (seven sub-scenarios) grounded in 75,309 paired Chinese civil judgments, equipped with local memory, global case memory, and a Skill/Tool library that maintains consistency across the entire dispute, together with LongJud-Bench that evaluates agents across all connected stages.

What carries the argument

The causally connected state chain of five stages together with local memory, global case memory, and Skill/Tool library that enforce role and procedural consistency across the full life cycle.

If this is right

  • Trajectories remain procedurally faithful and role-consistent according to 18,992 ratings from 217 legal-background evaluators.
  • Cross-model evaluations on LongJud-Bench reveal sharp capability divergences that aggregate scores do not capture.
  • No single model backbone leads across all five stages of consultation, drafting, and courtroom advocacy.
  • Agents can be tested on how decisions made in early stages constrain outcomes in later stages.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Agents trained inside the chained environment may develop better long-term case strategy than those trained on isolated tasks.
  • The same life-cycle approach could be adapted to evaluate agents in other sequential professional domains such as medical diagnosis chains.
  • Benchmarks that report only aggregate scores will continue to mask the need for stage-specific capabilities.

Load-bearing premise

That real litigation's five stages can be represented as one unbroken causal chain grounded in the judgments without simulation artifacts or omitted complexities that would break the claimed consistency.

What would settle it

Generated trajectories that produce outcomes or procedural steps inconsistent with the actual paired judgments used to ground the five-stage chain.

Figures

Figures reproduced from arXiv: 2606.18728 by Guanying Li, Shengbin Yue, Songhan Zuo, Tao Chiang, Xuanjing Huang, Yun Song, Zhongyu Wei.

Figure 1
Figure 1. Figure 1: Example from LEGALWORLD. The figure traces a civil dispute from legal consultation to the first￾instance civil trial, showing scene-level communication content and the memory flow through which case infor￾mation is recorded, updated, and carried forward. collection of independent tasks. A dispute unfolds from initial consultation through document draft￾ing, first-instance trial, appeal, and second-instance… view at source ↗
Figure 2
Figure 2. Figure 2: Overview of LEGALWORLD. The figure shows the participating client, lawyer, and judge agents, the five-stage life-cycle state chain, in-scenario local memory, global case memory, and Skill/Tool support. Source collection. We collect public civil first￾instance and second-instance judgment docu￾ments from China Judgments Online (wen￾shu.court.gov.cn), retaining the judgment text and case number of each docum… view at source ↗
Figure 3
Figure 3. Figure 3: Data foundation for LEGALWORLD envi￾ronment construction. (A) Court-level distribution of the 75,309 second-instance judgments used to construct runnable civil-litigation case trajectories. Most cases are decided at the intermediate court level, consistent with the structure of Chinese civil appellate jurisdiction. (B) Top-category cause-of-action distribution across all 75,309 paired cases. The distributi… view at source ↗
Figure 4
Figure 4. Figure 4: Human minus Claude-Sonnet-4.6 LLM-as￾Judge score differences across aligned metric-level pairs. Positive values indicate higher human scores; mean difference is +0.67, σ = 0.98, and 64.4% fall within one point (|∆| ≤ 1.0). scale across procedural compliance and process co￾herence, covering Civil Procedure Law alignment, procedural-step integrity, information transfer, turn￾taking, role boundaries, and prof… view at source ↗
Figure 5
Figure 5. Figure 5: Human rating reason analysis from the 18,992 free-text justifications. Top: the overall score distribution—73% of ratings are ≥ 9 and only 4.5% are ≤ 6. Bottom: selected informative reason themes summarized separately for the high-score band (≥ 9) and the rare low-score band (≤ 6); each bar reports a theme’s share within its own score band after assigning each justification one quality theme and omitting t… view at source ↗
Figure 6
Figure 6. Figure 6: Capability heatmap of the six backbones (con [PITH_FULL_IMAGE:figures/full_fig_p008_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: An anonymized lawyer role-memory excerpt ( [PITH_FULL_IMAGE:figures/full_fig_p021_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: An anonymized lawyer role-memory excerpt ( [PITH_FULL_IMAGE:figures/full_fig_p021_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: An anonymized client role-memory excerpt ( [PITH_FULL_IMAGE:figures/full_fig_p022_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: An anonymized client role-memory excerpt ( [PITH_FULL_IMAGE:figures/full_fig_p022_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Human evaluation interface. Evaluators inspect a complete case trajectory by stage and assign structured [PITH_FULL_IMAGE:figures/full_fig_p025_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Prompt of Client Persona (Chinese Version) Prompt of Client Persona (English Version) You are playing a real legal party. Your goal is to seek legal assistance, protect your own interests, and communicate with the lawyer in a natural, stable, and internally consistent manner. You must always follow the given case facts, must not invent key facts, and must not suddenly change your personality or behavioral… view at source ↗
Figure 13
Figure 13. Figure 13: Prompt of Client Persona (English Version) Prompt of Lawyer in Consultation and Drafting (Chinese Version) LC. <Role>法律顾问</Role> <Task>解答当事人法律咨询，并通过发问补齐缺失事实。</Task> <Rules> 1. 首轮先厘清：你不知道案件背景、证据、诉求或人物关系，先追问最关键的一项，不要直接下结 论。2. 聚焦问题：直接且简洁地回应当前问题；若需补充信息，每次只问一个关键问题。3. 结束控制：法律咨 询场景的结束只能由当事人决定。不得在此场景起草文书，若当事人需要起草文书则引导结束咨询。</Rules> CD. <Role>原告代理律师</Role> <Task>通过对话向客户收集信息，并及时使用工具起草《民事起诉 状》。</Task> 【开场】延续之前的话题自然开场… view at source ↗
Figure 14
Figure 14. Figure 14: Prompt of Lawyer in Consultation and Drafting ( [PITH_FULL_IMAGE:figures/full_fig_p027_14.png] view at source ↗
Figure 15
Figure 15. Figure 15: Prompt of Lawyer in Consultation and Drafting ( [PITH_FULL_IMAGE:figures/full_fig_p028_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: Prompt of Lawyer in Trial (Chinese Version) Prompt of Lawyer in Trial (English Version) FIT plaintiff side. <Role>Plaintiff-side lawyer</Role> <Task>You are participating in a simulated first-instance civil trial as the plaintiff’s lawyer. Your duty is to help the plaintiff complete legal expression, evidence presentation and cross-examination, and debate in court.</Task> <Rules> 1. Follow the presiding j… view at source ↗
Figure 17
Figure 17. Figure 17: Prompt of Lawyer in Trial (English Version) 28 [PITH_FULL_IMAGE:figures/full_fig_p028_17.png] view at source ↗
Figure 18
Figure 18. Figure 18: Prompt of Judge in Trial (Chinese Version) Prompt of Judge in Trial (English Version) FIT judge. <Role>Presiding judge in a first-instance civil trial</Role> Cause of action: case_cause Case number: case_number Procedure: ordinary procedure <Rules> 1. Maintain neutrality. Participants include both parties and their lawyers. During opening and mediation, mainly question the parties themselves; during court… view at source ↗
Figure 19
Figure 19. Figure 19: Prompt of Judge in Trial (English Version) Prompt of LongJud-Bench LLM-as-Judge Scoring (Chinese Version) Stage-specific system prompt. LC：你是法律咨询阶段的评测法官。给定参考答案，但不要机械做关键词匹配， 只输出JSON。CD：你是起诉状评测法官。给定参考答案，但不要机械做关键词匹配，只输出JSON。DD：你 是答辩状评测法官。给定参考答案，但不要机械做关键词匹配，只输出JSON。AD：你是上诉状评测法官。给 定参考答案，但不要机械做关键词匹配，只输出JSON。AR：你是上诉答辩状评测法官。给定参考答案，但不 要机械做关键词匹配，只输出JSON。FIT：你是一审庭审评测法官。给定参考答案，但不要机械做关键词匹 配，只输出JSON。SIT：你是二审庭审评测法官。给定参考… view at source ↗
Figure 20
Figure 20. Figure 20: Prompt of LongJud-Bench LLM-as-Judge Scoring ( [PITH_FULL_IMAGE:figures/full_fig_p030_20.png] view at source ↗
Figure 21
Figure 21. Figure 21: Prompt of LongJud-Bench LLM-as-Judge Scoring ( [PITH_FULL_IMAGE:figures/full_fig_p030_21.png] view at source ↗
Figure 22
Figure 22. Figure 22: Prompt of LC Full-Dialog Benchmark Scorer ( [PITH_FULL_IMAGE:figures/full_fig_p031_22.png] view at source ↗
Figure 23
Figure 23. Figure 23: Prompt of LC Full-Dialog Benchmark Scorer ( [PITH_FULL_IMAGE:figures/full_fig_p031_23.png] view at source ↗
Figure 24
Figure 24. Figure 24: Prompt of Persona-Validation LLM-as-Judge ( [PITH_FULL_IMAGE:figures/full_fig_p031_24.png] view at source ↗
Figure 25
Figure 25. Figure 25: Prompt of Persona-Validation LLM-as-Judge ( [PITH_FULL_IMAGE:figures/full_fig_p032_25.png] view at source ↗
Figure 26
Figure 26. Figure 26: Prompt of Experimental LLM-as-Judge Evaluation ( [PITH_FULL_IMAGE:figures/full_fig_p032_26.png] view at source ↗
Figure 27
Figure 27. Figure 27: Prompt of Experimental LLM-as-Judge Evaluation ( [PITH_FULL_IMAGE:figures/full_fig_p033_27.png] view at source ↗
read the original abstract

Civil litigation is inherently a life-cycle process: what a lawyer drafts on day one constrains what unfolds at trial months later. Yet existing legal benchmarks evaluate isolated subtasks, and prior legal-agent simulators reinitialize each scenario from shared ground truth, leaving cross-stage causal dependencies unmodeled. We present LegalWorld, a life-cycle interactive environment that models Chinese civil litigation as a causally connected state chain of five stages (seven sub-scenarios), grounded in 75,309 paired Chinese civil judgments. We pair it with reusable infrastructure (local memory, global case memory, a Skill/Tool library) that keeps each dispute consistent across its full life cycle. Building on this environment, we construct LongJud-Bench to evaluate agent capability across all five connected stages. 18,992 ratings from 217 legal-background evaluators confirm that LegalWorld trajectories are procedurally faithful and role-consistent; and a capability-level cross-model evaluation reveals sharp divergences that aggregate scores cannot expose, with no single backbone leading across consultation, drafting, and courtroom advocacy. Detailed resources will be released publicly.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The paper introduces LegalWorld, an interactive environment modeling Chinese civil litigation as a causally connected five-stage (seven sub-scenario) state chain grounded directly in 75,309 paired judgments. It supplies reusable infrastructure (local/global memory, Skill/Tool library) to maintain consistency across the full life cycle and pairs the environment with LongJud-Bench for cross-stage agent evaluation. Human ratings (18,992 from 217 legal-background evaluators) are reported to confirm procedural faithfulness and role consistency, while cross-model results show capability divergences not captured by aggregate scores.

Significance. If the claimed causal chain and faithfulness hold, the work would fill a clear gap between isolated legal subtasks and realistic life-cycle dependencies, offering a reusable testbed that exposes model strengths/weaknesses across consultation, drafting, and advocacy. The scale of the judgment corpus and the public release of resources are explicit strengths.

major comments (2)
  1. [Abstract / environment construction] Abstract and environment-construction description: the central claim that the five-stage chain is 'grounded in' and 'directly' derived from the 75,309 paired judgments provides no account of the extraction procedure, state-transition rules, or enforcement mechanism for causal dependencies. Without this, it is impossible to assess whether real-world constraints (e.g., evolving admissibility or jurisdiction triggers) are preserved or abstracted away.
  2. [Human-evaluation protocol] Human-evaluation section: the 18,992 ratings are presented as confirming 'procedural faithfulness,' yet the protocol does not state whether evaluators received side-by-side access to the source judgment pairs. If evaluators only saw generated trajectories, the ratings cannot reliably detect modeling artifacts or omitted complexities that the skeptic note identifies as the weakest assumption.
minor comments (1)
  1. [Abstract] The abstract states 'detailed resources will be released publicly' but supplies no concrete inventory of what will be released (code, judgment pairs, transition rules, or evaluator guidelines).

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive feedback. We address each major comment below and will revise the manuscript to improve clarity on the points raised.

read point-by-point responses

  1. Referee: [Abstract / environment construction] Abstract and environment-construction description: the central claim that the five-stage chain is 'grounded in' and 'directly' derived from the 75,309 paired judgments provides no account of the extraction procedure, state-transition rules, or enforcement mechanism for causal dependencies. Without this, it is impossible to assess whether real-world constraints (e.g., evolving admissibility or jurisdiction triggers) are preserved or abstracted away.

    Authors: We agree the current description lacks sufficient detail on the derivation process. In the revised manuscript we will add a dedicated subsection under environment construction that specifies: (1) the extraction procedure used to identify the five stages and seven sub-scenarios from the 75,309 paired judgments, (2) the legal-procedural rules defining state transitions (e.g., how filing triggers consultation and how admissibility evolves), and (3) the enforcement mechanisms (local/global memory and rule-based validators) that maintain causal consistency. This will allow readers to evaluate how real-world constraints are modeled versus abstracted. revision: yes

  2. Referee: [Human-evaluation protocol] Human-evaluation section: the 18,992 ratings are presented as confirming 'procedural faithfulness,' yet the protocol does not state whether evaluators received side-by-side access to the source judgment pairs. If evaluators only saw generated trajectories, the ratings cannot reliably detect modeling artifacts or omitted complexities that the skeptic note identifies as the weakest assumption.

    Authors: The manuscript does not currently detail the evaluator protocol. We will revise the human-evaluation section to explicitly describe the full protocol, including whether evaluators received the source judgment pairs alongside generated trajectories, the rating rubrics, and any blinding procedures. This clarification will directly address concerns about detecting modeling artifacts. revision: yes

Circularity Check

0 steps flagged

No circularity: environment built from external data and validated externally

full rationale

The paper constructs LegalWorld as a state chain grounded directly in 75,309 external paired Chinese civil judgments, then validates procedural faithfulness and role-consistency via 18,992 independent ratings from 217 legal-background evaluators. No equations, fitted parameters, predictions, or self-citation chains appear in the provided text. The central claims do not reduce to inputs by construction; the derivation remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No mathematical derivations, free parameters, or invented physical entities are described; the work is infrastructure and benchmark construction based on existing judgment data.

pith-pipeline@v0.9.1-grok · 5728 in / 1066 out tokens · 20386 ms · 2026-06-26T20:48:31.742557+00:00 · methodology

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